long-term implementation of sport education and step-game ... · ensino. o modelo de abordagem...
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Long-term Implementation of Sport Education and Ste p-Game Approach:
The Development of Students’ Volleyball Competence and Student-
Coaches’ Instructional Skills
Rui Manuel Flores Araújo
Orientadora
Isabel Mesquita, PhD
Coorientador
Peter A. Hastie, PhD
Dissertação apresentada com vista à obtenção do grau de Doutor no âmbito do
curso de Doutoramento em Ciência do Desporto, organizado pelo Centro de
Investigação e Inovação em Desporto (CIFI2D), da Faculdade de Desporto da
Universidade do Porto, nos termos do Decreto-Lei nº 74/2006 de 24 de Março.
Porto, 2015
II
Ficha de Catalogação
Araújo, R. (2015). Long-term Implementation of Sport Education and Step-
Game Approach: The Development of Students’ Volleyball Competence and
Student-Coaches’ Instructional Skills. Dissertação de Doutoramento em Ciência
do Desporto apresentada à Faculdade de Desporto da Universidade do Porto.
PALAVRAS-CHAVE: APRENDIZAGEM, ESTUDO LONGITUDINAL, MODELO
DE ABORDAGEM PROGRESSIVA AO JOGO, MODELO DE EDUCAÇÃO
DESPORTIVA, VOLEIBOL.
Funding A presente Dissertação foi financiada pela Fundação para a Ciência e a
Tecnologia (FCT) através de uma Bolsa de Doutoramento Individual
(SFRH/BD/72361/2010).
V
Dedicado aos meus pais
"Se queres a bolota filho, trepa a ela... Só depende de ti."
VII
Acknowledgements
Muito obrigado Professora Isabel Mesquita por toda a orientação, não só neste
doutoramento, mas também em toda a minha vida académica. Muito obrigado
por ter visto algo em mim. Muito obrigado pelos desafios propostos e por me ter
ensinado a viver fora da minha zona de conforto. Muito obrigado, acima de
tudo, por lutar sempre por nós.
Thank you senhor. Thank you Professor Peter Hastie for all the support during
these 5 years. Thank you for the hospitality, for being always available, and of
course for the 50-cent ice creams... Thank you very much for showing how a
human being should be.
Paulo, sempre disponível para tudo. Muito obrigado pela disponibilidade
demonstrada ao longo dos três anos. Sei que muitas vezes não foi fácil.
Obrigado também por todas as nossas conversas.
Obrigado Professora Paula Batista, Professor Amândio e Professor Maia. Muito
obrigado pelas conversas, ajuda, sugestões e desafios.
Muito obrigado aos meus colegas de gabinete Afonso, Cristiana, Mário e
Patrícia. Sem vocês, isto não era o mesmo. Muito obrigado por todo o
companheirismo, preocupação e boa disposição demonstrada desde o primeiro
momento. Muito obrigado pela vossa ajuda neste trabalho.
Muito obrigado a todos os amigos da faculdade. Alexandre, Cláudio, Diana,
Lorenzo, Mariana, Rúben e Tiago. Obrigado pelas conversas, trocas de ideias,
companheirismo e, acima de tudo, por toda a boa disposição que tornou tudo
isto bastante mais fácil.
Obrigado a todos treinadores e diretores do Castêlo da Maia Ginásio Clube.
Muito obrigado pela força e pela confiança depositada mas, acima de tudo, por
VIII
toda a paciência e compreensão durante a realização deste trabalho. Um
agradecimento especial à Beatriz Santos, Carlos Duarte, José Martins, Lorenzo
Laporta, Ricardo Araújo e Sandra Maia. Muito obrigado, pela ajuda, pelo
respeito, pelo desafio e, acima de tudo, obrigado por serem os “pense-bêtes”
que tanto precisei. É um privilégio poder trabalhar com vocês.
Muito obrigado a toda a minha família e amigos. Obrigado pela ajuda mas,
mais do que isso, obrigado por terem paciência comigo naqueles momentos
que não estive com vocês. Em especial, muito obrigado Andreia Castro e Rita
Marques por terem sido as irmãs que nunca tive.
Se este percurso trouxe muita coisa boa, sem dúvida que foste a mais
importante. Obrigado Ana por seres quem és. Por seres o porto seguro que fez
de mim uma pessoa melhor. Obrigado por toda a ajuda, dedicação e por tudo o
que todos os dias fazes por mim e por nós. Obrigado principalmente pela
paciência que tens comigo. Eu sei que muitas vezes não sou fácil. Espero que
esta tenha sido apenas uma das nossas aventuras. Independentemente do que
venha, uma coisa é certa. Vamos enfrentá-la juntos.
"Se queres a bolota filho, trepa a ela... Só depende de ti". Uma das primeiras
coisas que me disseram e tem me acompanhado sempre nos últimos anos.
Vejam onde chegámos. Obrigado por me terem ajudado a cá chegar. Obrigado
pelo apoio, força, carinho e pela admiração em silêncio, mesmo sem nunca
"perceberem muito bem o que andava eu a fazer". Espero que vos tenha
deixado orgulhosos. Decididamente, este trabalho é dedicado a vocês....
Bem... Que caminho este. 5 anos, orientadores fantásticos, amigos
espetaculares e ainda uma tese. Não poderia pedir mais. Mais uma vez, muito
obrigado a todos por isto.
IX
General Index
Index of Figures …………………………………………………………….. XI
Index of Tables ……………………………………………………………… XIII
Resumo ………………………………………………………………………. XV
Abstract ………………………………………………………………………. XVII
Abbreviations ……………………………………………………………….. XIX
I. Introduction ……………………………………………………………….. 1
1.1. Importance of the dissertation …………………………………... 3
1.2. Research problems and aims ……………………………………. 16
1.3. Structure of the dissertation ……………………………….......... 17
1.4. References ………………………………………………………...... 21
II. Review Article
Review of the Status of Learning in Research on Sport Education:
Future Research and Practice…………………………………………...
29
III. Empirical Studies ……………………………………………………….. 67
Empirical Study 1
Students’ game performance improvements during a hybrid sport
education–step-game-approach volleyball unit………………………...
69
Empirical Study 2
The instructional evolution of the student-coach in a combined used
of Sport Education and Step-Game-Approach....................................
95
Empirical Study 3
The long-term development of volleyball competence using Sport
Education and Step-Game-Approach models………………………....
127
IV. Final Considerations …………………………………………………… 153
XI
Index of Figures
Review Article
Figure 1 - Decision flowchart for identified studies……………………. 34
Empirical Study 1
Figure 1 - Students' game performance improvements throughout
the season………………………..........................................................
84
Empirical Study 3
Figure 1 - Individual and mean change curves………………………... 141
Figure 2 - Predictions from the nonlinear model effect of time………. 143
XIII
Index of Tables
Introduction
Table 1 – Structure of the dissertation………………………………….. 20
Review Article
Table 1 – Study quality checklist with quality scores assigned…….... 36
Table 2 – Overview of the studies included in this review……………. 38
Empirical Study 1
Table 1 - Sport Education-SGA Volleyball unit outline.………………. 78
Table 2 - Instructional checklist…………………………………………. 80
Table 3 - Student performance for all Indexes……………………….... 83
Table 4 - Performance for all indexes by students’ sex………………. 85
Table 5 - Performance for All Indexes by students’ skill-level……….. 86
Empirical Study 2
Table 1 – Unit plans for the three Sport Education-SGA seasons…... 102
Table 2 – Student-coaches’ preparation during the second season… 108
Table 3 - Student-coaches’ preparation during the third season……. 115
Empirical Study 3
Table 1 – Unit plans for the three Sport Education-SGA seasons….. 134
Table 2 - Instructional checklist.………………………………………… 138
Table 3 - Game play performance across three seasons……………. 140
Table 4 - Model comparisons……………………………………………. 141
Table 5 - Model summary………………………………………………... 142
XV
Resumo
A presente dissertação teve como propósito central examinar a aprendizagem
dos alunos e a evolução instrucional dos estudantes-treinadores durante a
participação em três unidades híbridas do Modelo de Educação Desportiva e
do Modelo de Abordagem Progressiva ao Jogo. Recorreu-se à observação
sistemática com utilização do Game Performance Assessment Instrument para
analisar a evolução do desempenho dos alunos na modalidade de Voleibol ao
longo de três unidades. Para além disso, a evolução instrucional dos
estudantes-treinadores foi analisada através da observação das aulas, notas
de campo e entrevistas aos alunos. Os resultados sugerem que a aplicação
híbrida dos dois modelos instrucionais se revelou profícua, não só para a
evolução dos alunos na modalidade de Voleibol, independentemente do seu
sexo e nível de habilidade, como também para a melhoria instrucional dos
estudantes-treinadores. Em particular, a aplicação de mais do que uma
unidade consecutiva no tempo permitiu que os estudantes se familiarizassem
de forma progressiva com a organização da aula, reduzindo o tempo
despendido em tarefas de gestão da aula, dedicando mais tempo às tarefas de
ensino. O Modelo de Abordagem Progressiva ao Jogo mostrou-se ainda curial
para estas melhorias, ao fornecer uma estrutura didática para o ensino do
Voleibol. Os protocolos de preparação aplicados permitiram a evolução na
capacidade instrucional dos estudantes-treinadores. Mais especificamente, na
primeira unidade os estudantes-treinadores revelaram dificuldades na
apresentação e modificação das tarefas, bem como no diagnóstico do erro e
emissão de feedback apropriado. Após a aplicação de dois protocolos de
preparação destes alunos, estas dificuldades iniciais foram ultrapassadas, o
que permitiu uma gradual transferência de responsabilidade do professor para
os estudantes-treinadores.
PALAVRAS-CHAVE: APRENDIZAGEM, ESTUDO LONGITUDINAL, MODELO DE ABORDAGEM PROGRESSIVA AO JOGO, MODELO DE EDUCAÇÃO DESPORTIVA, VOLEIBOL.
XVII
Abstract
The present dissertation aimed to analyze the effectiveness of the combined
used of Sport Education and Step-Game-Approach models beyond a single
season experience on students’ learning and student-coaches’ instructional
evolution. In particular, a systematic observation of students’ game play
performance through the use of the Game Performance Assessment Instrument
was applied, in order to analyse students’ game play improvements throughout
the application of three hybrid Sport Education-Step-Game-Approach Volleyball
units. Video observations, field notes and students’ interviews were used to
scrutinized student-coaches’ instructional difficulties within peer-assisted tasks,
and to evaluate the impact of specific protocols of student-coaches’ instructional
preparation throughout the three seasons. Results revealed that all participants,
regardless of their sex and skill-level, improved from their first experience with
both models at the seventh-grade through the end of the ninth-grade season.
Students became progressively familiarized with Sport Education organizational
features throughout the three seasons, spent less time on those tasks and,
consequently, spent more time on learning tasks. The application of the
protocols for student-coaches’ preparation during the second and third seasons
showed also to be effective for their instructional evolution. In particular, during
the first season student-coaches showed the inability to organize the tasks with
their teammates, to identify performance errors and provide feedback to them,
as well as, to modify the tasks whenever that was necessary. By the use of a
number of pedagogical strategies during the protocols, these instructional
difficulties were solved, which allowed a gradual release of instruction from the
teacher to the student-coaches.
KEYWORDS: LONGITUDINAL DESIGN; SPORT EDUCATION MODEL; STEP
GAME APPROACH MODEL; STUDENTS’ LEARNING; VOLLEYBALL
XIX
Abbreviations
PE – Physical Education
DIM – Direct Instruction Model
SE – Sport Education
TGfU – Teaching Games for Understanding
ICGM – Invasion Games Competence Model
TG – Tactical Games
SGA – Step-Game-Approach
FADEUP – Faculty of Sports of the University of Porto
STROBE – Reporting of Observational Studies in Epidemiology
CONSORT – Consolidated Standards of Reporting Trials
N – number
ANOVA – Analysis of Variance
PreT – pretest
PosT – posttest
Ret – retention test
DM - Decision Making
ADJ – Adjust
SE – Skill Efficiency
SEF – Skill Efficacy
GP - Game Performance
GI – Game Involvement
FCT – Foundation for Science and Technology
I. Introduction
_________________________________________________
Introduction
3
1. Introduction
1.1. Rationale
Model-based instruction in Physical Education
The importance that sport plays in the human lives has been widely
recognized, notably its contribution to the physical, emotional, personal and
social development of human beings (Coulter & Choróinín, 2013; Ozoliņš &
Stolz, 2013). As Ozoliņš and Stolz states (2013, p. 887), “much more than any
other activity, it [sport] has the power to bring the divide between individuals to
an end, at the very least, closing the gap”. This issue has justified the inclusion
of sport in school curricula through Physical Education (PE) (Ozoliņš & Stolz,
2013) in many countries around the world for at least a century (Puhse &
Gerber, 2005). In this vein, health- and fitness-related considerations regarding
sport have been identified as the most influence ideologies within PE (Green,
1998; Penney, 1998; Kirk, 1999; Penney & Evans, 1999; Lake, 2001; Green,
2008; Kretchmar, 2008). As pointed out by Coulter and Choróunín (2013, p.
829), “while health discourses around the promotion of lifelong physical activity
are central to the framing of PE through school curricula, sport and team games
continue to play a central role in the daily practices of physical education.”
Notwithstanding, PE encompasses much more than this dyad, and should
aim to promote multiple learning outcomes, covering all domains of learning.
Alexander and Luckman (2001, p. 255) state the “5 big aims of PE”, namely:
motor skill development, tactical knowledge and performance, fitness, personal
and social development (e.g., cooperation, empathy, self-discipline), and
student attitudes and values (e.g., enthusiasm, enjoyment). In the words of
Ozoliņš and Stolz (2013, p. 888) PE “is important because: (i) it is learning
about one’s body and hence oneself through some sort of physical activity or
human movement; (ii) learning about an important way in which people share
their lives; and, (iii) it has the potential to develop the whole person. Not
everyone will be a sportsman or sportswoman, just as not everyone will be a
writer or a mathematician. This, however, does not mean that we do not need to
Introduction
4
learn to read and write and be numerate. Similarly, we need to learn something
about how our bodies work and to develop an understanding of ourselves as
physical beings who mediate the world through our physical senses.”
However, some relevant shortcomings should be properly addressed. For
example, the multi-activity curriculum with short units has been dominant in PE
(Gerdin & Pringle, in press; Kirk, 2010). This curriculum embraces a
smorgasbord of activities all within one year, leading to brief lessons with time
being further eroded by management rituals and low learning time, short units
with reduced instruction, and an excessive focus on keeping students ‘busy,
happy and good’ (Placek, 1983). Frequently, the program contents result from
particular interests and conveniences of the teacher, often comprehending the
teaching of sport skills in a decontextualized and seemingly socially irrelevant
manner (Kirk, 2010). The multi-activity curriculum embraces a wide range and
diverse educational goals, which are rarely if ever achieved (Kirk, 2010, 2013;
Lock, 1992). Most often than not this leads to a somewhat ambiguous place of
PE with the curriculum (Ozoliņš & Stolz, 2013).
It is therefore not surprising that the multi-activity curriculum is not
deprived of criticism (Taylor & Chiogioji, 1987). Locke (1992) calls this model a
‘programmatic lemon’ (p. 363) since it is related with student disaffection, the
failure to provide students with the opportunity to master any one activity, and
also the marginalisation of PE. In fact, Locke highlighted student alienation,
demoralization, negative attitudes and pessimistic data from a growing number
of literature, which reported teachers’ and students’ perceptions within PE.
In addition, this type of curriculum is also linked with learning inequities
within PE. Given the fact that this approach keeps changing the sport being
taught, it does not provide students the time and opportunity to master any one
activity. Therefore, the individual rhythm of learning is not preserved and,
consequently, this curriculum promotes the perpetuation of gender and skill-
level iniquities (Flintoff & Scraton, 2001). This criticism provides a reasonable
enough basis for concluding that what has conventionally been offered in the
name of PE has been a failure. Kirk (2010) even warns of the precarious
Introduction
5
situation of PE given the continued dominance of the multi-activity curriculum
and its resistance to change.
Accepting the notion that “skilful game play takes time” (Rink et al., 1996,
p. 494) the length of the unit plays a key role with PE. Several authors (e.g.
Mesquita, 2012; Mesquita el al., 2005; Siedentop et al. 2011) have been
enhancing therefore the vale of longer units (no less than 20 lessons) in order to
promote students’ learning. Nevertheless, the application of the same activity
over an extended period over time requires a well-defined plan that can guide
teachers and students throughout each content of the unit (Metzler, 2011).
Model-based instruction has been advocated as a mean to fill this need
(Casey, 2014; Dyson et al., 2004). Indeed, “instructional models are based on
an alignment of learning theory, long-term goals, context, content, classroom
management, related teaching strategies, verification of process and the
assessment of student learning” (Metzler, 2011, p. 8). This author summarizes
the importance of model-based instruction as (i) providing an overall plan and
coherent approach; (ii) clarifying learning domain priorities and interactions; (iii)
providing an instructional theme; (iv) allowing teacher and students alike to
understand the on-going teaching and learning process; (v) furnishing a unified
theoretical framework; (vi) being grounded on research; (vii) promoting a
technical language for teachers; (viii) allowing the relationship between
instruction and learning to be verified; (ix) allowing for more valid assessment of
learning; (x) encouraging teachers decision making within an unified framework;
and (xi) directly promoting specific standards and learning outcomes.
From teacher-centred to student-centred instructional models
The Direct Instruction Model (DIM; Rosenshine, 1979) has been the most
traditionally and widely adopted over the last years (Kirk, 2010). In this teacher-
centred approach the teacher is undoubtedly the instructional leader, who
explicitly and formally dictates and circumscribes all aspects of the learning
process, such as the involvement of students in the learning tasks. Students
perform a largely passive role, with reduced or no autonomy, performing a set
of tasks which are rarely understood with respect to their rationale, advantages
Introduction
6
and disadvantages. Students progress continuously, with constant monitoring
and evaluation by the teacher (Frosnot, 1998). This instructional model is
clearly affiliated on the behaviourist learning theory, which frames learning as a
process of stimulus and response where the individual is largely considered an
automaton, a passive element that remains inactive until subject to external
stimulation (Vanderstraeten, 2002). Learning results are thus an accurate
representation of external stimuli, believing that observing and listening to the
explanations provided by teachers as well as participation in activities,
experiments or practical sessions are factors explaining learning (Frosnot,
1998). This teacher-centred approach (i.e., the teacher controls almost all
aspects of the teaching and learning process) has achieved minimal levels of
student autonomy, perceptions of competency and relatedness (Hastie, 2012).
As such, the role of the student in learning process cannot be
underestimated any further (Rink, 2001). Society has been demanding schools
to educate individuals that are capable of acting autonomously in a responsible
and committed way, adept in the face of challenges, risks and opportunities
they encounter. This urged the need to implement learning environments seen
from the educational reform of the 1990s that allocate the student at the centre
of the learning process (Penney & Chandler, 2000). These learning
environments should take into account the person who lives inside the student
(Mesquita, 2012), with its singular experiences, motivations and particular
difficulties (Rink, 2001). The student should be renewed to become more of a
“thinker” rather than merely a “doer” (Mesquita, 2012). On the other hand, the
teacher is expected to move away from the central stage and serve as a
facilitator of learning, purposely shifting “responsibility to the student engaged in
authentic, meaningful, and learning tasks” (Dyson et al., 2004, p. 226). This
need justified to a large extent the evolution of behavioural learning paradigms
into constructivists learning paradigms, which grant proper space to the
discovery and initiative of the students (Mesquita, 2013). Piaget’s and
Vygotsky’s learning proposals, although contrasting, have contribute to this
evolution.
Piaget’s (1896-1980) constructivism approach asserts that learning is an
Introduction
7
active, contextualized process of constructing of knowledge rather passively
receiving it. Learners should have the opportunity to react from the stimuli that
surrounds them, building, modifying and interpreting the information they
encounter in this relation with the environment (Morgan, 2007; Von Glasersfeld,
1995). Learning should not therefore be a exact representation of external
experiences, but rather an adaptation of the subject to these stimuli, through a
mapping of actions and conceptual operations considered as viable on the
experience of the “knowing subject” (Von Glasersfeld, 1998). Learning takes
place in the mind of the person, experiencing and hypothesising about the world
as they encounter it, whilst moving through pre-set stages of life (Weiner et al.,
2003).
Vygotsky (1986) saw as inadequate learning tasks that only contemplated
solving individual problems for the learner, claiming that the student learning
process in cooperation with the teacher or with their peers, constituted a more
viable form of assess the capabilities of apprentices. Vygotsky’s view of learning
underpins a “modern constructivism”, i.e., socio-constructivism, which asserts
that social interaction is fundamental to learning. Vygotsky believed that social
learning precedes development and proposed that children learn through social
interaction with adults and more capable peers (Morgan, 2007). This view
encourages learners to work together to achieve common goals and provides
the opportunity for the learners to help each others (Dyson et al., 2004). Within
this context, the “More Knowledgeable Other” (Vygotsky, 1978) is key to a
sound cognitive development and is normally thought of as being a teacher, a
coach, or another adult, but it might also be a peer or a sibling (Corden, 2000).
This would afford learners to work on their Zone of Proximal Development
(Vygotsky, 1978), i.e., the distance between a student’s ability to perform a task
under adult guidance or peer collaboration, and the student’s ability for solving
the problem independently.
The way students learn influences the way teachers teach (Entwistle &
Entwistle, 1991). This change in the learning paradigm has therefore promoted
an evolution from teacher-centred approaches to student-centred approaches
(i.e., students build their own learning, with enhanced role of their cognitive
Introduction
8
processes, decision-making and autonomy) (Ennis, 2014). Nowadays, a wide
number of student-centred instructional models are available to PE teachers,
each of them proposing specific teaching goals. Among such models, we
highlight Sport Education (SE; Siedentop, 1994), Cooperative Learning (Slavin,
1995) and Personal and Social Responsibility (Hellison, 2011). In addition,
variants of the original British conceptualization of games teaching termed
Teaching Games for Understanding (TGfU; Bunker & Thorpe, 1982) can also
be identified as student-centred approaches. These include Tactical Games
(TG; Griffin et al., 1997; Mitchell et al., 2003, 2006), Game Sense (Light, 2013;
Thorpe, 1996), Play Practice (Launder, 2001), Invasion Games Competence
Model (IGCM; Mesquita et al., 2012), Tactical Decision Learning Model
(Gréhaigne et al. 2005), and Games Concept Approach (Rossi et al., 2006).
The Sport Education model: conceptualization, structure and research
Within Physical Education, constructivist and socio-constructivists ideas
find voice on the Sport Education model (Siedentop et al., 2011), which
allocates the student to the centre of the teaching and learning process and
adopts more implicit and less formal strategies when compared to other models
traditionally used in the school context (Metzler, 2011). In SE, the control of the
teaching and learning environment progressively moves from the teacher to the
students, who are allocated within teams and assigned with greater
responsibility and autonomy in organizing and managing the activity.
First introduced in the 1980s, the model was derived from Daryl
Siedentop’s doctoral dissertation (Siedentop, 1968), where he advocated the
placement of play education curriculum theory in a preeminent place in the
curriculum guidelines of PE. Siedentop (2002, p. 411) argued that “cultures of
physically active play are fundamentally important to collective social life, and
bringing children and youth into contact with those cultures through
educationally sound practices was sufficient to justify physical education as a
school subject” (Siedentop, 2002). This vision of PE was promulgated from
1970-1980 and Jewett and Bain (1985) accepted it as an autonomous curricular
model. It was in 1982 that Siedentop first proposed the creation of the model,
Introduction
9
during a presentation under the Commonwealth Games in Brisbane. The
consolidation of the model's conceptual bases was achieved in 1994, with the
presentation of a book entitled "Sport Education: Quality PE through positive
sport experience" (Siedentop, 1994), which established the validation of the
mode as a pedagogical tool and object of scientific inquiry.
Siedentop’s development of the model spurred from his perception that
PE, even when taught effectively, was not interesting or challenging enough to
inspire students (Siedentop, 2002). The author (1994, p. 7) criticized the
presentation of a “decontextualized physical education” in short units, in which
games and sports are taught in ways that rarely resemble the authentic sport
experience, and do not promote a solid understanding of game play. Therefore,
SE was designed to provide students authentic and rich sport experiences in
the context of PE, helping them to develop as competent, literate and
enthusiastic sports players (Siedentop et al., 2011). In Siedentop’s (2002, p.
411) own words: “I mean competent in the sense that they are knowledgeable
game players. I mean literate in the sense that they understand and value sport,
and can distinguish between good and bad sport practices. I mean enthusiastic
in the sense that they participate and behave in ways that preserve, protect,
and enhance sport cultures. These purpose have a strong cultural emphasis;
Sport Education has always been defined as a process through which sport
cultures might grow and prosper as humanizing influences in the lives of nations
and their citizens”.
Siedentop (1994) crafted six key-features that mimic the authentic form of
institutionalized sport within the larger culture. These include (i) seasons, (ii)
affiliation, (iii) formal competition, (iv) record keeping, (v) festive climate and (vi)
culminating events. Therefore, SE offers students an authentic learning
environment in which the traditional multi-activity units are replaced by longer
sport seasons. These include training sessions, formal competitive matches,
performance records, and equitable participation during an extensive period of
time. A festive climate takes place within the season and students develop
autonomy and curriculum ownership through cooperative learning activities.
Furthermore, aligned wit contemporary institutionalized sport, students are
Introduction
10
affiliated to the same teams throughout the unit. Within these teams students
take upon performance of within-team and within-matches sports-based roles
other than that of player (e.g., coach, referee, scorekeeper, statistician and
member of the sports organizing board). The culminating event marks the end
of the season and a variety of awards are presented (such as final standings,
referee, fair play, and participation awards).
Research on SE has provided a compelling argument for its effectiveness
in PE programs, with more than 160 data based empirical papers identified to
date. Sport Education research has highlighted evidences concerning the
achievement of those goals, with reviews being conducted by Wallhead and
O'Sullivan (2005), Kinchin (2006), Hastie et al. (2011), and Hastie (2012).
Wallhead and O'Sullivan (2005) organized their review according to the “5 big
aims of PE” (Alexander & Luckman, 2001, p. 254), notably motor skill
development, knowledge and understanding, fitness, social development, and
values and attitudes. They suggested there is empirical evidence on the efficacy
of the model in eliciting its goals. In particular, the affiliation feature of SE
promotes personal and social development, specifically in the form of student
responsibility, cooperation and trust skills. Nevertheless, the same authors also
highlighted the student leadership skills as potentially problematic for effective
content development and the promotion of an equitable participation.
Kinchin (2006) focused his review on the perceptions of student and
teachers. On one hand, students referred their preference of SE when
compared to traditional approaches. In particular, they enjoyed being given the
opportunity to be affiliated with a group of teammates over an extended period
of time and to have increased responsibility and ownership within the lessons.
Students also highlighted high levels of seriousness regarding their participation
in the various roles of the model. On the other hand, teachers appreciated
stepping out of centre-stage and consequently having the opportunity to take on
more supporting roles, as well as the increased students’ interest in PE.
In 2011, Hastie et al. conducted a review of research on Sport Education
in order to identify any new trends in research since the review of Wallhead and
O'Sullivan (2005), and to describe the extent to which the limitations and future
Introduction
11
research directions of the original review were addressed. This update
summarized that “since the 2005 review, there has been not only an expansion
in the number of studies relating to Sport Education, but also the initiation of
research in a number of new contexts, as well as those focused on new
research questions. An analytic induction of these papers has placed them into
three categories: (1) expanded sites of implementation; (2) students’
motivational responses; and (3) learning to teach Sport Education (Hastie et al.,
2011, p. 103)”. More recently, Hastie (2012) organized his review regarding the
central goals of the model. This author reported that support for competency
was “burgeoning and developing”, evidences for literacy was “emerging”, and
students’ enthusiasm have been “significantly substantiated”.
SE research has therefore been showing an unequivocal and positive
impact of the model on students’ personal and social development, motivation,
as well as in their sense of belonging (Hastie et al., 2011). Notwithstanding, with
respect to competence, and although research has already recognized the
potential of SE in developing students’ skill and tactical awareness (e.g., Hastie,
1998b; Hastie et al., 2013; Hastie et al., 2009; Pritchard et al., 2008), some
authors have been enhancing key factors that warrant further investigation
within this area, such as (Hastie et al., 2011; Wallhead & O'Sullivan, 2005): (i)
the lack of longitudinal studies that analyse SE beyond a single season; (ii) the
lack of attention paid to the actual content being taught and learned, and to the
nature of learning tasks within the instructional task system of the season; and
(iii) the need to examine the dynamic of peer interaction and subsequent
content learning and performance that occurs during student-led tasks of the
curriculum.
Longitudinal data collection designs
Longitudinal data collection extending beyond a single SE season has
been highlighted as one of the factors that warrant further examination. To date,
research is limited to a single season experience (Hastie et al., 2011; Wallhead
& O'Sullivan, 2005). In fact, time is a key factor to help students learn and feel
comfortable with the change from a teacher-directed to a student-driven model
Introduction
12
(Brunton, 2003; Hastie, 1998a, 1998b; Hastie et al., 2013; Mesquita et al., 2012;
Pritchard et al., 2008). The complexity of the organization of activities within SE
(distributing roles, establishing formal competition, allocating students to teams,
among others), while important and necessary, may also have an impact on the
time available for learning. Further, the extension of SE beyond a single unit
experience could allow the analysis of critical elements for the teaching and
learning process. As Wallhead and O'Sullivan (2005) refer, an extended
implementation of the model throughout a reasonable period of time might
benefit the dynamics of social and instructional system within the season, and
consequently improve student’s learning.
Emergence of hybrid models
The lack of attention paid to the actual content being taught and learned,
coupled with the nature of learning tasks within the instructional task system of
the season has also been identified as another gap of research on SE
(Wallhead & O'Sullivan, 2007). Despite the fact SE affords extensive game
practice, its primary concern relies on the organizational structuring and on the
authenticity of the learning process (Pill et al., 2012). Specifically, the emphasis
of SE is the promotion of a more democratic and inclusive pedagogy, by
focusing on the pedagogical environment within the lesson, such as the roles
assumed by teachers and students (Siedentop et al., 2011). Given the
“outward-focus” (Hastie & Curtner-Smith, 2006, p. 23) of the model, it is
therefore not surprising that several authors called for “hybrid models”, that is,
alliances between the organizational characteristics of SE (persisting teams,
formal competitions, roles etc.) and other forms of game based instruction with
specific framework to the content and learning tasks to be taught during the
season.
The TGfU was the first instructional model to fill this gap of SE (Hastie &
Curtner-Smith, 2006), since research has enhanced the effectiveness of this
model in the improvement of both students’ decision-making and skill execution.
Although SE and TGfU stand for distinctive educational foci, this two models
share several conceptual and pedagogical principles. The combination of both
Introduction
13
can be used to design meaningful, purposeful, and authentic learning activities
for students (Dyson et al., 2004). When combining SE and TGfU, Hastie and
Curtner-Smith (2006) found the act of teaching to be particularly labour-
intensive, and given the need for the teacher to drive and give momentum to the
proceedings, the authors demanded that the teacher possess superior content
and pedagogical content knowledge.
Notwithstanding, the specificity of tactics within team sports (in particular
the differentiation between invasion and non-invasion games) made it
necessary to build models that attended to this specificity, which was not taken
into account by TGfU (Mesquita et al., 2012). Based on the acknowledged
synergies within and between SE and TGfU, a number of other hybrid models
have also been developed (e.g. IGCM, Mesquita et al., 2012; TG, Pritchard et
al., 2014). In the IGCM the specific nature of invasion games and the
importance of specialized teaching are considered (Belka, 2004). In addition,
tasks are aligned with the situational demands related to the play of basic forms
of invasion games and are structured on chained basic forms and supported by
partial game forms and game like tasks (Graça & Mesquita, 2003). In a study
explicitly designed to analyse the impact of a hybrid SE-IGCM on students’
improvements, Mesquita et al. (2012) found that a SE environment sustained by
the learning tasks structure provided by the ICGM offered students the
possibility to improve their skill execution and decision-making, especially girls
and students of lower skill-level. Pritchard et al. (2014) aimed to investigate the
effectiveness of a combined used of SE and TG models on male and female
students in coeducational and single sex classes in middle school physical
education. These authors found improvements on basketball game play
performance for males and females of both classes.
The Step-Game-Approach model
To date and to our knowledge, no study has answered these calls in
regard to non-invasion games, such as volleyball, badminton and tennis
(Harvey & Jarret, 2014; Hastie et al., 2011; Wallhead & O'Sullivan, 2005). The
Step-Game-Approach model (SGA; Mesquita et al., 2005) might have the
Introduction
14
potential to provide an appropriate framework to the development of game play
ability in a step-by-step game play environment, namely by facing students with
problems sought to challenge their capacity for understanding and performing
game play (Mesquita et al., 2005). Three types of instructional approach sustain
this approach, namely adaptation tasks, structuring tasks and acquisition tasks
(Pereira et al., 2011). SGA research has shown the effectiveness of this model
in the development of the volleyball game play performance (Mesquita et al.,
2005). In particular, Mesquita et al. (2005) where aiming to the renewal of the
teaching of volleyball in school context, and have found that the school class as
a whole made significant improvements in several measures of game
performance either in technical or tactical domains. Notwithstanding, girls and
students of lower skill-level seemed to benefit more from such approaches than
boys and students of higher skill-level. Given all of these, a hybrid Sport
Education–Step-Game-Approach unit (SE-SGA) might have the potential to
reach the affective and social teaching goals of Sport Education, simultaneously
taking into account the didactical framework of teaching a non-invasion sport
(Hastie & Curtner-Smith, 2006; Mesquita et al., 2012).
Differentiating the effect of sex and skill-level on students’ learning
SE research related with students’ competence has also been enhancing
a differentiating effect of students’ sex and skill-level. In particular, studies
focused on teachers’ and students’ perceptions combined with empirical
measurement have reported superior learning opportunities for boys and higher
skill-level students, due to the apparent dominance of these students in the
social and instructional agenda (Alexander & Luckman, 2001; Brock et al.,
2009; Hastie, 1998a, 1998b; Hastie & Curtner-Smith, 2006; Hastie et al., 2009).
Notwithstanding, other studies revealed superior learning opportunities for girls
and lower skill-level students (Carlson & Hastie, 1997; Mesquita et al., 2012). It
is therefore not surprising that several authors call for quantitative research
concerning opportunities for practice in model-based units, namely through the
analysis of students’ improvements according to skill-level and sex (Pereira et
al., 2015). In this way, by analysing students’ improvements beyond a single
Introduction
15
season experience with a combined use of SE and SGA models, and taking into
account students’ sex and skill level, this study also might have the ability to
provide a more complete account of the impact of this hybrid approach.
The qualitative examination of the teaching and learning process
SE research has been conducted to analyse the effectiveness of the
model in achieving its goals, through the use of quasi-experimental (pre-test
and post-test), descriptive, and exploratory (teachers’ and students’ responses
to the model) designs. However necessary, this trend of research only allows a
superficial assessment of the model. In this way, research need to move
forward, namely venturing into the study of the complexity of the teaching and
learning processes and the dynamics of students’ and teachers’ interactions
within the model. These studies would add to those seeking answers to
questions such as ‘does it work’, with those asking about ‘why and how each
model works’ and even more important, ‘how it can be improved’.
Undoubtedly, one of the areas of the teaching and learning process that
call for more research is the analysis of student-coach leadership skills and
instructional competence within the peer-assisted tasks of SE (Hastie, 2000;
Hastie et al., 2011; Wallhead & O'Sullivan, 2005). While the potential lack of
effective student leadership within peer-assisted tasks has been recognized as
a possible reason for some teachers’ and researchers’ scepticism (Alexander &
Luckman, 2001; Wallhead & O’Sullivan, 2005) and probably for the scarce
evidence on the student’s learning outcomes, analysis of the dynamics of
student interaction in the peer-assisted tasks are still scant. Indeed, only
Wallhead and O’Sullivan (2007) have examined the content development during
these tasks in a SE unit, while no other authors have included student’s learning
outcomes using the same design. Siedentop (1995, p. 22) had already claimed
“a void exists in how to identify, teach, and provide practice for the leadership
skills necessary for successful coaching within the tasks of the SE curriculum”.
Here, research on SE should embody the need to examine the dynamics of the
peer-assisted tasks (and its evolution) related with content development and the
use of power by student coaches in relation to their teammates. It should also
Introduction
16
attempt to control how the devolution of both is transmitted from teacher to
students. This is particularly relevant given Wallhead and O’Sullivan’s (2007)
finding of student-coaches’ inability to elaborate content through appropriate
demonstration, error diagnosis and task modification.
1.2. Research problems and aims
Based on the information present above, this dissertation aims to examine
the effectiveness of a hybrid SE-SGA model beyond a single season
experience on student-coaches’ instructional evolution and students’ learning
outcomes.
This dissertation soughs to response to the calls for more qualitative and
deeply examination of the teaching and learning process. In particular, given the
central place of the student-coach within SE, and given the scarcity of research
regarding student-coaches, these student intents to examine the effectiveness
of specific training protocols on student-coaches’ instructional effectiveness.
That is, we aimed to identify the instructional difficulties encountered by student-
coaches during peer-assisted tasks and then analyse the interventions that
were put in place across three SE seasons designed to address those
difficulties. This analysis might provide a realistic portrait of the teaching and
learning process and, consequently, guide future model-based research and
practical implementation.
In addition to this qualitative examination, the present study also purposes
to analyse students’ game play volleyball improvements. In fact, literature have
been enhanced some gaps of SE research regarding students’ learning that
warrants further investigation, such is the case of longitudinal data collection
(Hastie et al., 2011; Wallhead & O’Sullivan, 2005). A subsequent goal of the
present dissertation was to analyse this improvements according to students’
sex and skill-level.
Given all of this, the present study specifically intents to:
Introduction
17
1) To examine the effectiveness of specific student-coach instructional
preparation protocols and subsequent student-coaches instructional
effectiveness across three hybrid SE-SGA seasons. More specifically, the
goal was to identify the difficulties that student-coaches encountered during
peer-assisted tasks and then evaluate protocols designed to solve those
difficulties.
2) To examine the assertion that a hybrid combination of SE and SGA can
promote students’ learning in non-invasion games, such is the case of
volleyball. Specifically, students’ overall game play performance, decision-
making, adjust, skill efficiency and skill efficacy;
3) To analyse students’ game play performance improvements throughout
the application of three hybrid volleyball SE-SGA units throughout three
years;
4) To determine the extent to which gains in students’ performance levels
might vary according to sex and skill-level.
1.3. Structure of the dissertation
The present dissertation was elaborated in conformity with the
requirements and guidelines of the Faculty of Sports of the University of Porto
(FADEUP, 2009). This dissertations is structured according to the Scandinavian
model, notably by scientific papers to be submitted to international peer-
reviewed journals. The rational for this option relies on the grounds that
enhances the acquisition and progressive development of specific skills, not
only related to the area under investigation, but also to scientific production.
Therefore, four distinctive chapters compose this thesis.
Chapter I assigns the introduction of the dissertation, in which both the
theoretical framework and the relevance of the theme considering the research
already done in the field. In addition, the general purpose of the thesis and its
structure are also exposed within this chapter.
Introduction
18
The following chapter is dedicated to the theoretical component of the
dissertation. Specifically, the chapter II presents the review article entitled
Review of the Status of Learning in Research on Sport Education: Future
Research and Practice. This review article sough to gather what is know to date
with respect to students’ learning when participating in SE seasons and provide
possible directions that future research and practical implementations of the
model might follow. This article was crucial to provide a sustained theoretical
framework to the subsequent empirical articles wrote to this thesis.
Chapter III comprehends the empirical component of the present
dissertation and is composed by three empirical articles published or submitted
to international peer-review journals with impact factor. The first empirical study
is entitled “Students’ Game Performance Improvements during a Hybrid Sport
Education–Step-Game-Approach Volleyball Unit” and intended to analyse a
hybrid combination of SE and the SGA model on students’ game performance
according their sex and skill-level. In particular, decision-making, adjustment,
skill execution, skill efficacy, game involvement and overall game performance.
Seventeen seventh-grade students participated in a 25-lesson volleyball
season. This study was crucial not only to analyse students’ volleyball
improvements on all the dimensions of the game play but also to the diagnosis
of possible issues to be improved for the two following seasons and,
consequently, the two following empirical articles.
The second empirical article is entitled “The instructional evolution of the
student-coach in a combined use of Sport Education and Step-Game-
Approach” deeply examines the dynamics of teaching learning process that
operates within the Sport Education season, in particular the student-coaches
instructional skills during peer-assisted tasks. In addition, not only this study
sough to identify possible student-coaches’ instructional difficulties, but also to
evaluate the impact of specific formats to the preparation of this students. In this
way, the instructional performance of three coaches was observed throughout
the three years.
Introduction
19
The third empirical article entitled “The long-term development of volleyball
competence using Sport Education and Step-Game-Approach model” which
analysed students’ overall game play improvements throughout three hybrid
Sport Education- SGA seasons, also taking into account students’ sex and skill
level. This study followed a longitudinal design and 18 students were analysed
when they were in the seventh-grade until their ninth-grade. This study has
shown to be a major contribution to the Sport Education research since it was
the first to respond to the calls for more longitudinal data collection protocols.
The chapter IV is dedicated to the final thoughts, supported by the
conclusions of each of the empirical article that incorporate the present
dissertation. In this chapter the findings from the different studies were
interpreted, related and summarized in order to fill the gaps from previous
research and provide a richer understanding of students’ improvements and the
dynamics of the teaching and learning process operating within the peer-
assisted tasks of the model. In addition, in this chapter suggestions that future
research might follow and insights for future SE and SGA implementations are
also presented.
The references of each chapter are presented in the end of it. Additionally,
the references of each article are presented in the end of that same article
according to the journals’ guidelines. Table 1 provides a complete outline of the
structure of the thesis.
Introduction
20
Table 1. Structure of the dissertation Chapter I Introduction
Introduction of the dissertation, which comprehends the theoretical framework and the relevance of the theme under study, the general purpose of the thesis, and its structure
Chapter II Review Article
Review Article
Review of the Status of Learning in Research on Sport Education: Future Research and Practice Rui Araújo, Isabel Mesquita and Peter A. Hastie Published: Journal of Sports Science and Medicine (2014) 13(4), 846-858 (Impact Factor: 1.025).
Chapter III Empirical Studies
Empirical Article 1
Students’ game performance improvements during a hybrid sport education–step-game-approach volleyball unit Rui Araújo, Isabel Mesquita, Peter A. Hastie and Cristiana Pereira In press: European Physical Education Review (2015) doi: 10.1177/1356336x15597927 (Impact Factor: 0.673).
Empirical Article 2
The instructional evolution of the student-coach in a combined use of Sport Education and Step-Game-Approach Rui Araújo, Isabel Mesquita, Peter A. Hastie and Cristiana Bessa Submitted to: Journal of Teaching in Physical Education (Impact Factor: 0.740)
Empirical Article 3
The long-term development of volleyball competence using Sport Education and Step-Game-Approach model Rui Araújo, Isabel Mesquita, Peter A. Hastie, Keith Lohse, Cristiana Bessa Submitted: Physical Education and Sport Pedagogy (Impact Factor: 0.811).
Chapter IV
Final Thoughts
Introduction
21
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II. Review Article
_________________________________________________
Review of the Status of Learning in Research on Spo rt Education: Future
Research and Practice
Rui Araújo 1, Isabel Mesquita 1 and Peter A. Hastie 2
1 Centre of Research, Education, Innovation and Intervention in Sport, CIFI2D,
Faculty of Sport, University of Porto, Porto, Portugal. 2 Kinesiology, Auburn University, Auburn, USA.
Published: Journal of Sports Science and Medicine (2014), 13(4), 846-858.
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31
Abstract
Research concerning Sport Education’s educational impact has shown
unequivocal results according to students’ personal and social development.
Nevertheless, research is still sparse with respect to the model’s impact on
student learning outcomes. The goal of the present review is to therefore
scrutinize what is currently known regarding students’ learning during their
participation in Sport Education. This research spans a variety of studies,
cross various countries, school grades, the sports studied, as well as the
methods applied and dimensions of student learning analyzed. While research
on the impact of Sport Education on students’ learning, as well as teachers’
and students’ perceptions about student learning has shown students’
improvements during the participation in Sport Education seasons, there is still
considerable variance in these results. For example, some studies report
superior learning opportunities to boys and higher skill-level students while
other studies have identified superior learning opportunities for girls and lower
skill-level students. These inconsistent results can be explained by factors not
considered in the Sport Education research, such as the effect of time on
students’ learning and the control of the teaching-learning process within Sport
Education units. In this review directions for future research and practice are
also described. Future research should define, implement, and evaluate
protocols for student-coaches’ preparation in order to understand the influence
of this issue on students’ learning as well as consider the implementation of
hybrid approaches. Moreover, future studies should consider the interaction of
gender and skill level and a retention test in the analysis of students’ learning
improvements in order to obtain a more realist and complete portrait of the
impact of Sport Education. Finally, in order to reach an entirely understanding
of the teaching-learning process, it is necessary to use research designs that
attend to the complexity of this process.
Key words: Assessment, gender, instructional models, physical education,
skill level, students.
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Introduction
As a response to the lack of authenticity and meaningfulness of a
techniques-centred approach to sport within physical education, Siedentop
(1994) developed "Sport Education". The overriding goals of this pedagogical
model are the development of competent, literate and enthusiastic
sportspersons (Siedentop et al., 2011). Reviews of research on Sport Education
(e.g., Hastie et al., 2011; Wallhead and O'Sullivan, 2005) have reported varying
degrees of accomplishment of these goals, to the point now where Hastie
(2012, p. 10) suggests the following executive summary: “evidence for
competency is ‘burgeoning and developing’, support for literacy is ‘emerging’,
and that enthusiastic responses by students have been ‘significantly
substantiated”.
According to Wallhead and O'Sullivan (2005), research on Sport
Education as a pedagogical model has been framed according to two broad
categories: practical strategies required to implement Sport Education
(pedagogical strategies, assessment, model application to different areas, etc.)
and the educational impact of this model on various dimensions of student
learning. With respect to the second of these (Sport Education’s educational
impact), research findings have suggested consistent results according to
students’ personal and social development, namely their attitudes (enthusiasm,
motivation, etc.) and values (affinity, equity, etc.) (Hastie et al., 2011; Wallhead
and O'Sullivan, 2005). These findings are reflected by teachers’ (Alexander et
al., 1996; Strickwerda-Brown and Taggart, 2001) and students’ (Bennett and
Hastie, 1997) perceptions as well as empirical measurement (Hastie, 1998b).
Nonetheless, research is still sparse with respect to the model’s impact on
student learning outcomes (Hastie et al., 2011). This issue is particularly
important given that learning is one of the central goals of education, which
means that the substantive value of the motor task cannot be underestimated at
the expense of group activities and social interaction. The personal and social
domain cannot therefore become an end in itself, and it is through the motor
task, the pursuit of competence and performance that physical education
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33
becomes meaningful (Mesquita, 2012). Therefore, the purpose of the present
study is to scrutinize what is currently known concerning students’ learning
when participating in Sport Education in order to make judgments and directions
that future research and practice might follow.
Methods
Systematic search and study selection
A systematic literature search was conducted using seven databases,
namely Academic Search Complete, ERIC, SPORTDiscus with Full Text,
PsychInfo, Education Research Complete, ISI Web of Knowledge and
SCOPUS. This search was conducted from their inception to September 20,
2013 using the “Sport Education” as the keyword, and performed by two
researchers with experience in this methodology and knowledgeable of
instructional models in physical education.
Using these, studies for this review were included according to the
following criteria: (i) were published in peer reviewed international journals; (ii)
included at least one group participating in a Sport Education season; and (iii)
focused on student’s learning outcomes (skill development, knowledge, tactical
awareness and game play). Review and opinion articles, articles focusing on
personal/ social outcomes, and articles focused on the discussion of the
practical strategies required to implement Sport Education (pedagogical
strategies, assessment, etc.) were excluded from this review.
Figure 1 presents the summary of decisions taken for identifying studies.
Initially, from the wide range of articles that identified “Sport Education” in
either the title, abstract or keywords (n = 36,954), only those related to Sport
Education research were selected for reading (n = 276). From this number,
only peer-reviewed articles related to students’ learning outcomes (skill
development, knowledge improvement tactical development and game play)
were selected (n = 34). Review articles (n = 2) and articles without full text (n =
9) were excluded for this review. Therefore, only peer review journal articles
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34
that specifically studied students’ improvements according to skill development,
tactical development or game
play were included to the present review (n = 23).
In order to analyse all the information from the 23 articles included in this
review, content analysis was performed. The following categories were defined
a priori using the method suggested by Harris et al. (2013): purpose, type of
study, dimension of learning analysed, participants/setting, data
collect/analysis, and principal results.
Assessment of study quality
The 23 studies that met the inclusion criteria were assessed for quality.
These criteria were adapted from the Strengthening the Reporting of
Observational Studies in Epidemiology (STROBE) recommendations
(Vandenbrouck et al., 2007) and the Consolidated Standards of Reporting
Full-text articles reviewed (n=276)
Articles specifically focused on students’ learning outcomes (n=34)
Full-text articles included in review (n=23)
Articles excluded (n=11): • Review articles (n=2)
• Articles without full-text (n=9)
Publications identified through database searching (n=3695): • Academic Search Complete - 609
• ERIC - 326
• SPORTDiscus with Full Text - 1412
• PsychInfo - 293
• Education Research Complete - 635
• ISI Web of Knowledge - 177
• SCOPUS - 243
Publications excluded (n=242): • Not peer review articles
• Do not specifically focused on
students’ learning outcomes
Publications excluded, with reasons (n=3419): • Duplicates
• Not Sport Education articles
Figure 1 - Decision flowchart for identified studies
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35
Trials (CONSORT) statement (Moher et al., 2001). A formal quality score for
each study was completed on a six-point scale by assessing a value of 0 (no
present or inadequately described) or 1 (present and explicitly described) to
each of the following questions: (a) Did the article provide a detailed
description of the program context: teacher expertise and students previous
experience? (b) Did the study report sources and details of outcome
assessment? (c) Did outcome assessment instruments have acceptable
reliability for the specific age group? (d) Did the study report the precise details
of the interventions intended for each group and how and when they were
actually administered? (e) Did the study report the fidelity of the intervention
that was delivered to participants and was the delivered content in the true
nature of the intended intervention? (f) Did the study report the effect size of
primary and secondary outcome investigation? Studies scored from 0-2 were
classified as “low” quality studies, from 3-4 as “moderate” quality studies, and
those that scored 5-6 were classified as “high” quality studies. This assessment
was performed by one of the authors of the present article as well as an
external reader who had significant research in instructional models in physical
education, particularly Sport Education. In order to measure the degree of
reliability of the two assessments, the Cronbach’s alpha was calculated. This
test showed a higher agreement between the two assessments (α = 0.99). The
assessment of studies’ quality is presented in Table 1.
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Table 1. Study quality checklist with quality scores assigned
Authors/Date Que 1
Que 2
Que 3
Que 4
Que 5
Que 6
Quality score total/6
Grant (1992) 0 0 1 0 0 0 1 Carlson (1995) 1 0 1 0 0 0 2 Curnow & MacDonald (1995) 1 0 0 1 0 0 2
Alexander et al. (1996) 0 0 0 0 0 0 0 Carlson & Hastie (1997) 1 1 0 0 0 0 2 Hastie (1998a) 1 1 1 1 0 0 4 Hastie (1998b) 1 1 1 1 1 0 5 Alexander & Luckman (2001)
0 0 0 0 0 0 0
Hastie & Trost (2002) 1 1 1 1 0 0 4 Clarke & Quill (2003) 0 0 0 0 0 0 0 Browne et al. (2004) 1 1 0 1 0 0 3 Hastie & Curtner-Smith (2006)
1 0 0 1 0 0 2
Hastie & Sinelnikov (2006) 1 1 1 1 1 0 5 Cruz (2008) 1 0 0 0 0 0 1 Pritchard et al. (2008) 1 1 1 1 1 0 5 Brock et al. (2009) 1 0 0 0 0 0 1 Li & Cruz (2009) 1 0 0 0 0 0 1 Hastie, Sinelnikov & Guarino (2009)
1 1 1 1 1 0 5
Calderón, Hastie & Martinez (2010)
1 0 0 1 1 0 3
Mesquita, Farias & Hastie (2012)
1 1 1 1 0 0 4
Cho et al. (2012) 1 1 1 1 1 0 5 Gutiérrez et al. (2013) 1 0 0 1 1 0 3 Hastie et al. (2013) 1 1 1 1 1 1 6
Question (Que). Que 1: Did the article provide a detailed description of the program context: teacher expertise and students previous experience? Que 2: Did the study report the sources and details of outcome assessment? Que 3: Did outcome assessment instruments have acceptable reliability for the specific age group? Que 4: Did the study report the precise details of the interventions intended for each group and how and when they were actually administered? Que 5: Did the study report the precise fidelity of the intervention that was delivered to participants and was the delivered content in the true nature of the intended intervention? Que 6: Did the study report the effect size of primary and secondary outcome investigation?
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Results
Table 2 show the 23 articles that were included in this review. The
assessment of the study’s quality is included in the table.
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Table 2. Overview of the studies included in this review
Authors/Date Purpose Type of
study Dimension analysed
Participant/Setting
Data collect/analys
is Result Quality
score
Hastie et al. (2013)
Evaluate the extent to which two instructional units in physical education would lead to improvement in students’ skill and technical performance and knowledge
Quantitative assessment
Skill and tactical development Performance
Portugal 119 students (56 SE and 63 DI) 10th grade Equivalent of 20 track and filed lessons (45 min)
Skill and knowledge tests Performance measures Independent-samples t test
Despite improvements for both tests were found, SE education was more effective for shot put and hurdles. No improvements for knowledge in the traditional unit, while SE students improved their scores by more than 7%. Improvements in performance were found both units, but favouring SE.
6
Hastie (1998b)
Examine the development of skill competence and tactical awareness and student’s perceptions and experiences during a SE unit
Both qualitative and quantitative assessment
Skill and tactical development Game play
USA 6 students (4 boys and 2 girls) 6th grade 30 lesson (35 min) of Ultimate Frisbee.
Videotape observation Student interviews
Boys had more opportunities of participation. Girls did not considered these iniquities as problematic since continued to fell a useful part of the team. Skill development was more evident to low skill-level students, whilst tactical development to higher skill students.
5
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Hastie & Sinelnikov (2006)
Analysed participation and perceptions of students in a SE unit
Both qualitative and quantitative assessment
Skill development
Russia 37 students (18 boys and 19 girls) 6th grade 18 Basketball lessons
Videotape Interviews ANOVA Analytic induction of themes
Results showed differences according to skill level, favouring higher skill students although both groups presented above 70%.
5
Pritchard et al. (2008)
Comparison between two instructional models (SE and DI) on skill development, knowledge and game performance
Quantitative assessment
Skill and tactical development Game play
USA 47 students 9th grade 20 Volleyball lessons (50 min)
Skill tests Knowledge tests GPAI MANOVA
Students’ improvements in skill execution, tactical knowledge and performance. Higher improvements for SE students according to performance.
5
Hastie, Sinelnikov & Guarino (2009)
Examined the development of skill and competence and tactical knowledge during a SE unit
Quantitative assessment
Skill and tactical development
Russia 41 students 8th grade 18 Badminton lessons (45 min)
Skill test GPAI Knowledge test ANOVA
Results showed improvements in skill development, performance and tactical knowledge for both boys and girls. However only according to knowledge boys didn’t show higher improvements
5
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Cho et al. (2012)
Investigate students’ motor skill development through a SE season
Quantitative assessment
Skill development
USA 130 students: 66 sixth (35 boys and 31 girls) and 64 seventh (32 boys, 32 girls) grade students 21 (middle school classes) and 15 (junior high school classes) Volleyball lessons (45 min)
Protocol for skill assessment (SCPEAP) Repeated measures ANOVA
Student volleyball form, communication, movement to ball, and effective play significantly improved throughout the season.
5
Hastie (1998a)
Studied the participation and perceptions of a cohort of girls during a SE unit
Both qualitative and quantitative assessment
Students’ learning in general
USA 35 girls 5th and 6th grade 20 Floor Hockey lessons
Videotape observations of opportunities to responds Group interviews Quantitative: descriptive and ANOVA across gender Qualitative: inductive analysis
Despite results showed improvement for both sexes, boys had more opportunities to take positions of power, higher success levels and more opportunities to respond during competition phase. Nevertheless girls continued to prefer SE
4
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Hastie & Trost (2002)
Student physical activity levels and skill development during a SE unit
Quantitative assessment
Skill development
19 male students Middle school 22 lessons Hockey (50 min)
Accelerometers (MVA & VPA) Skill tests
Improvements for both higher and lower skill-level students
4
Mesquita, Farias & Hastie (2012)
Analyse the impact of a hybrid SE-IGCM model on students’ skill and tactical development and performance
Quantitative assessment
Skill and tactical development Game play
Portugal 26 students 5th grade 22 soccer lessons
Knowledge test Game performance through GPAI Mann-Whitney e Wilcoxon
Student’s improved their skill execution and tactical decisions, not only defensive but also offensive, especially for girls and low skill-level students.
4
Browne et al. (2004)
Comparison between SE and DI concerning students’ learning, enthusiasm and affection
Both qualitative and quantitative assessment
Skill and tactical development
Australia53 boys 2 8th grade classes20 Rugby lessons (45 min)
Assessment of skills by teacher and students’ self-evaluation Interviews with students
SE students showed higher results concerning perceived learning and refer a better understanding of the game.
3
Calderón, Hastie & Martinez (2010)
Teacher’s and students’ perceptions about SE implementation in Spain
Qualitative assessment
Skill and tactical development
48 students 1 teacher 8 “Balón Prisionero” lessons
Teacher’s diary Teacher interviews Student questionnaires Student drawings
Teacher’s reported students’ improvements, particularly technical and knowledge. Higher students’ perceived competence in the end of the unit when compared to the beginning
3
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Gutiérrez et al. (2013)
Expand the understanding of Spanish students’ perceptions of SE
Qualitative assessment
Spain 270 students from nine different schools 5th to 11th grade
Student’s surveys Small-group interviews ANOVA Inductive analytic methods
Students referred that they had more time to practice and play more games. By consequence, they referred more learning opportunities. Higher levels of perceived improvement in girls.
3
Carlson (1995)
Perceptions and experiences of female students to SE
Qualitative assessment
Students’ learning in general
Australia 8 female students 9th grade 20 Flag football lessons
Teacher interview Student interviews Constant comparison of themes Frequencies of touches of ball
Female students improved during the season and the length of the unit was perceived as a key element to these results
2
Curnow & MacDonald (1995)
Analysis of gender iniquities on SE units
Qualitative assessment
Skill development
Australia 25 students (12 boys and 13 girls) 6th and 7th grade 9 Touch Rugby lessons (45 min)
Student interviews Videotape observations Teacher diary Qualitative constant comparison of themes
More learning opportunities and powerful roles to boys
2
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Carlson & Hastie (1997)
Analysis of social system within a SE unit
Qualitative assessment
Skill development
Australia 88 students 8th and 9th grade 21 Netball and Football lessons (45 min)
Field notes Lesson videotape Student and teachers interviews Qualitative constant comparison of themes
Lower skill-level participants were more likely to mentioned increased physical skills.
2
Hastie & Curtner-Smith (2006)
Analyse teachers’ and students’ perceptions in a hybrid SE-TGfU unit
Both qualitative and quantitative assessment
Skill and tactical development
Australia 29 students (11 boys and 18 girls) 6th grade 22 batting and fielding games lessons (50 min)
Critical incidents Tactical quizzes Game design forms Team interviews
All students were able to understand, appreciate and implement rudimentary tactics.
2
Grant (1992)
Teachers’ perceptions about students’ learning
Qualitative assessment
Skill and tactical development
New Zealand 86 teachers 10th grade 34 schools 14 sports 16-22 lessons
Teacher reflective diaries Thematic Analysis
Improvements in student decision-making and enthusiasm
1
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Cruz (2008)
Analyse the views of students and teachers from their learning and teaching experiences
Qualitative assessment
Students’ learning in general
Hong Kong 2 teachers 110 students Secondary school
Participant observation Filed notes Teacher reflective journal Questionnaires to students Semi-structured interviews with teachers
Teachers believed that SE would benefit students’ learning outcomes.
1
Brock et al. (2009)
Explore student’s social interactions and their perspectives during a SE unit: influence of student status on group interactions and decisions
Both qualitative and quantitative assessment
Students’ learning in general
USA 10 students (5 boys and 5 girls) Elementary school 26 lessons of modified soccer
Student questionnaires Videotape and observations Informal interviews with teachers Student journals Field notes
Student’s status appeared to have an influence on whose opinions counted and whose voices were heard and the decision-making process of the team captains. Low status students were silenced and those voices were no heard. The status characteristics of gender influenced the amount of playing time students received during the unit
1
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Li & Cruz (2009)
Analysed teachers’ and students’ experiences on SE
Qualitative assessment
Skill development
Hong Kong 2 teachers 12 students 2 Basketball and Handball units
Lesson videotaping Semi-structured interviews Content analysis and constant comparison
One of the teachers referred improvements in handball skills.
1
Alexander et al. (1996)
Report of the Australian national trial of SE: program change, educational impact, inclusivity
Qualitative assessment
Skill development
Australia 53 teachers
Teachers questionnaires Videoconference with teachers Student diary Deductive analysis of themes
Improvements in skill development, especially for lower skilled students.
0
Alexander & Luckman (2001)
Teacher’s perceptions about SE implementation
Qualitative assessment
Skill development
Australia 337 teachers
Teachers’ questionnaires
Skill development it is difficult to achieve. When it occur favours low skill students
0
Clarke & Quill (2003)
Analysis on the ways in which SE might enhanced students’ leanings
Qualitative assessment
Skill development
United Kingdom 8th grade 6 lessons
Interviews Field notes Teacher diaries
Teachers show some scepticism according to student’s learning outcomes during SE units.
0
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Source, grade and sport
Sport Education research considering students’ learning outcomes is
particularly diverse, spanning a variety of countries, the school grade in which
the season was applied, and the sports studied. According to the country
where the Sport Education season took place, the most frequent country was
Australia (n = 7), followed by USA (n = 5), Russia (n = 2), Portugal (n = 2),
Hong Kong (n = 2), Spain (n = 2), United Kingdom (n = 1) and New Zealand (n
= 1). With regard to the grade level used, the most frequent were those most
associated with middle school (sixth through eighth grade; n = 14), followed by
high school (ninth through twelfth grade; n=7) and finally elementary school
(first to fifth grade; n = 4). Team sports were the most commonly studied (n =
19), whereas only four studies incorporated individual sports (such as athletics,
badminton) or dance in their seasons.
Methods applied
This research spans two distinctive methodological approaches:
qualitative studies (students’ and teachers’ perceptions) or quantitative studies
(quasi-experimental, pretest-posttest design). From Table 1 it can be seen that
qualitative research has focused on three concerns: teachers’ perceptions,
students’ perceptions, and studies that have examined both teachers and
students. Four studies focused on the perceptions of teachers concerning
students’ learning (Alexander and Luckman, 2001; Carlson and Hastie, 1997;
Curnow and McDonald, 1995; Grant, 1992). Several authors (n = 6) examined
both students’ and teachers’ perceptions (Alexander et al., 1996; Calderón et
al., 2010; Carlson, 1995; Clarke and Quill, 2003; Cruz, 2008; Li and Cruz,
2009;) and only one study has analysed students’ perceptions (Gutiérrez et al.,
2013). In these studies, several tools were used to examine the perceptions of
the participants such as formal and informal interviews (n = 11), reflective
diaries (n = 7), questionnaires (n = 3), drawings (n = 1), and group interviews (n
= 1).
In studies following qualitative measures, quasi-experimental pre-posttest
designs (Cho et al., 2012; Hastie and Trost, 2002; Hastie et al., 2009; 2013;
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47
Mesquita et al., 2012; Pritchard et al., 2008) have been used in order to
analyse the impact of Sport Education on students’ learning outcomes. The
most frequently used instruments in these designs were skill tests (n = 6),
followed by tactical knowledge tests (n = 4) and systematic observation
instruments to evaluate students’ improvements (n = 3), such as the Game
Performance Analysis Instrument (Oslin et al., 1998).
Mixed methods (incorporating both quantitative and qualitative
assessment) were also used (Brock et al., 2009; Browne et al., 2004; Hastie,
1998a; 1998b; Hastie and Curtner-Smith, 2006; Hastie and Sinelnikov, 2006).
The majority of these studies used both lesson videotapes and interviews (n =
4). Field notes (n = 1), questionnaires (n = 1), self-evaluation of skills (n = 1),
critical incidents (n = 1), game design forms (n = 1) and tactical quizzes (n = 1)
were also used. In these mixed methods studies both students’ learning
(through empirical measurement) and students’/ teachers’ perceptions (through
more qualitative measures) were examined.
Dimensions of students’ learning
Related to the dimensions of students’ learning analysed, Sport Education
research have been focused on skill development, tactical development and
game play. Only five studies analysed all these dimensions of students’
learning (Hastie, 1998b; 2009; 2013; Mesquita et al., 2012; Pritchard et al.,
2008). Beyond that, skill development was the most studied dimension of
students’ learning (n = 15), followed by tactical development (n = 5). Six
studies reported learning outcomes, in general, that is without specifying which
dimension was analysed.
Impact of Sport Education on student’s learning
Research concerning the impact of Sport Education on students’ learning
as well as teachers’ and students’ perceptions about students’ learning has
considered students’ skill-level and gender. Although research has showed
students’ improvements during the participation in Sport Education seasons,
the outcomes remain somewhat ambiguous since some studies report superior
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48
learning outcomes for boys and higher skill-level students while other studies
found superior learning outcomes for girls and lower skill-level students.
Students’ learning according to gender
Gender inequity has been the focus of several investigations in physical
education (e.g. Ennis, 1999; Flintoff, 2008; Nicaise et al., 2007; Williams and
Bedward, 2010), where the theme of dominance of boys and higher skill-level
students consistently arises (Flintoff et al., 2008; Shimon, 2005; Solmon et al.,
2003; Williams et al., 2000). Within Sport Education, there is a focus on
inclusion and equal participation, seeking to develop student cooperation and
sharing responsibility through the use of persisting teams and seasonal
responsibilities taken by all students (Siedentop, 1994). However, some
authors (n=5) have reported greater learning opportunities for boys during
Sport Education units (Brock et al., 2009; Curnow and McDonald, 1995; Hastie,
1998a; 1998b; 2009).
More specifically, Curnow and McDonald (1995) report a case study of an
upper primary Sport Education unit in order to analyse gender inclusivity.
Through the use of student’s interviews, videotape observations and teacher
diaries, the authors concluded that boys held more powerful roles, dominated
interactions and girls were silenced. Student’s freedom led to limitations on skill
development, particularly amongst girls. Nevertheless, it is necessary to take
into account that in this study the participation of students was not regulated
and the season was short (9 lessons) considering the minimum limit of 20
lessons referred by Siedentop (1994). According to Curnow and McDonald
(1995) equity principles could be achieved from closer teacher guidance or
rules to giving students equal “access to power”, for instance through the
rotation of all students across the allocated roles. Brock et al. (2009) explored
the influence of student status on group interactions and decisions in a 26-
lessons season and found that the gender influenced the amount of playing
time that students received during the unit, mostly in favour of boys. These
greater opportunities for boys led to a different impact of the Sport Education
unit on skill competence and tactical knowledge. Focusing on skill competence
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and tactical knowledge during an 18-lesson Sport Education season, Hastie et
al. (2009) found improvements in skill development, performance and tactical
knowledge for both genders. Nevertheless, boys showed greater gains.
Researchers have become aware of these iniquities and have tried to
develop wider and more adjustable curricula for both boys and girls, combining
the use of Sport Education with other models that define effectively the learning
tasks according to the content to be taught, i.e. hybrid models (Hastie and
Curtner-Smith, 2006). This hybrid technique was evident in the Mesquita et al.
(2012) study that analysed the impact of a 22-lessons Sport Education -
Invasion Games Competence unit on students’ skill and tactical development
and game performance. The results of this study reported students’
improvements in skill execution and tactical decisions (both defensive and
offensive) for both boys and girls but particularly for girls. These results were
explained by the closer monitoring and scaffolding from the teacher and the
use of game forms present in the hybrid unit, as well as the boys’ high entry
performance, which promoted a ceiling effect (Mesquita et al., 2012).
Students’ learning outcomes according to skill level
Students’ skill level has been a variable that differentiates the impact of
Sport Education on students’ learning outcomes. From anecdotal data, two
studies reported perceptions of higher learning opportunities to higher skill-
level students (Alexander and Luckman, 2001; Alexander et al., 1996), which
have been corroborated by studies using quantitative measures (n = 3; Brock
et al., 2009; Hastie, 1998b; Hastie and Sinelnikov, 2006). Other studies (n = 2)
have reported higher learning opportunities for lower skill-level students
(Carlson and Hastie, 1997; Mesquita et al., 2012).
In particular, Alexander et al. (1996) and Alexander and Luckman (2001)
analysed teachers’ perceptions (n = 53 and n = 377 respectively) about
students’ learning during Sport Education. Teachers suggested that higher
learning opportunities were afforded to higher skilled students, a belief that has
been substantiated by the study of Brock et al. (2009) who through systematic
observation of lessons showed that lower skill-level students were silenced and
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their voices were rarely heard. The results obtained by Hastie and Sinelnikov
(2006), who analysed the participation and perceptions of students during the
participation in a Sport Education season lasting 18 lessons, found similar
outcomes. Despite both groups reporting participation levels above 70%,
results favoured higher skill-level students. These greater learning
opportunities for higher skill-level students led to a differentiating effect of Sport
Education according to skill level. Hastie (1998b) focused on the analysis of
student’s learning outcomes found that lower skill-level students only had
opportunities to technical development whilst higher skill-level students had
more opportunities for tactical development. In a study of Ultimate Frisbee,
Hastie (1998b) focused on the analysis of student’s learning outcomes found
that lower skill-level students only had opportunities to technical development
while higher skill-level students had more opportunities for tactical
development. As Hastie (1998b) reported, while the lower and medium-skilled
players in particularly showed improvements in controlling the disk and being
able to throw accurate passes, it was only the medium and higher skilled
players who made improvements in passing decision making.
In a different line of results, through the application of a hybrid model,
Mesquita et al. (2012) found that lower skill-level students had lower values
when compared to middle and higher skill-level students at the beginning of the
unit. However, these differences faded at the end of the unit and therefore the
authors suggested that lower skill-level students benefited most from the unit.
These conclusions support the findings of previous investigations (Carlson and
Hastie, 1997) in which improvements were also substantial for lower skill-level
students.
Discussion
The aim of this study was to report what is currently known about students’
learning when participating in Sport Education units in order to make
judgements as to the directions that future research and practice might follow.
The actual attainment of inclusivity in Sport Education may not always match
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the stated goals of the model (Kinchin et al., 2001). Parker and Curtner-Smith
(2012b) support these claims as they confirmed the prevalence of hegemonic
masculinity, masculine bias and sexism within Sport Education. From Sport
Education research according to students’ learning outcomes a differentiating
effect of students’ gender and skill-level was found. Teachers and students
reported superior learning opportunities for boys and higher skill-level students
due to the apparent dominance of these students in the social and instructional
agenda (Alexander and Luckman, 2001; Alexander et al., 1996; Curnow and
McDonald, 1995), which is substantiated by empirical measurement (Brock et
al., 2009; Hastie, 1998a; 1998b; 2009; Hastie and Sinelnikov, 2006).
Nevertheless, in some studies, girls did not consider these differences as
problematic and continued to prefer Sport Education over more traditional
models of instruction in physical education (Hastie, 1998a; 1998b). Girls
considered themselves as important and useful to their teams and suggested
that boys’ dominance within instructional tasks allowed for the improvement of
all students since they ensured the quality of the game.
Other studies (Carlson and Hastie, 1997; Mesquita et al., 2012) revealed
greater learning opportunities for girls and lower skill-level students. However,
these Sport Education units were specifically designed using hybrid models,
completed with more monitoring from the teacher in order to minimize the
upward of higher skill-level students within learning tasks. These inconsistent
results can be explained by factors not considered in the Sport Education
research, such as the effect of time on students’ learning and the control of the
teaching-learning process within Sport Education units.
Effect of time on students’ learning outcomes
Research suggests that skilful game play takes time and therefore the
length of the unit plays a key role in students’ learning outcomes (Hastie,
1998a; 1998b; Hastie et al., 2013; Mesquita et al., 2012; Pritchard et al., 2008).
The complexity of the organization of activities within Sport Education
(distributing roles, establishing formal competition, allocating students to teams,
among others) while important and necessary, also has an impact on the time
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52
available for learning. By consequence, shorter units leave less time for learning
and improvements, and can be counterproductive to the development of skill
performance (Hastie et al., 2013). In the case of studies in this review in which
teachers indeed reported some scepticism about students’ improvements
during Sport Education units (Clarke and Quill, 2003; Curnow and McDonald,
1995). These perceptions are actually supported by students’ empirical
assessment as Hastie et al. (2009) who notes the “analysis of the decision-
making components of the GPAI data showed that the students had little tactical
sophistication in their play until the end of the season” (Hastie et al., 2009, p.
139). Moreover, in the study of Hastie et al. (2013) shorter units were proven to
be ineffective. It would appear then, that units longer than the typical physical
education units (18-20 lessons), as well as a careful control of lesson time (for
instance, establishments of rules and routines within the lesson) are essential to
achieve students’ learning outcomes in Sport Education. All those studies that
followed these criteria showed improvements in Sport Education units.
Literature in teaching in physical education support these claims, emphasizing
the critical role of the length of the unit and, consequently, the number of
positive practice trials in skill development (Hastie et al., 20011). Nevertheless,
educational authorities across the globe continue to limit the time that can be
spent on one particular sport in physical education (Hastie et al., 2013).
Nevertheless, longer units cannot by themselves overcome the
differentiating effect of gender and skill-level. Indeed, even following
Siedentop’s (1994) recommendations, student improvements in Sport
Education units are still ambiguous, with some studies reporting higher
opportunities afforded to boys and higher skill-level students and others to girls
and lower skill-level students. The application of more than one unit
consecutively over time may benefit the dynamics of social and instructional
system that occur within working groups (teams) and consequently improve
student’s learning (Wallhead and O'Sullivan, 2005). It is therefore not surprising
that several authors consider the urgency in studying the impact of Sport
Education with a longitudinal data collections protocol, which extends past the
end of one or two units (Hastie et al., 2011; Wallhead and O'Sullivan, 2005).
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53
However, to date, its dearth persists and until now no study has focused on
students’ learning outcomes past a one-season experience (Hastie et al., 2011).
Moreover, within the Sport Education research gathered for this review,
few articles indicated the time between the assessment moments and the Sport
Education unit. Only five studies refer the days between the assessment
moments (pretest and posttest) and the unit. In two studies (Hastie et al., 2013;
Li and Cruz, 2009) the assessment of skill, tactical development and
performance are realized immediately before (pretest) and after (posttest) the
Sport Education unit. In other two studies (Hastie and Trost, 2002; Hastie et al.,
2009) the initial evaluation is realized during the first lessons whilst the final
evaluations take place during the final lessons of the unit. Beyond that, almost
all of the studies have only analysed improvements before and after the unit,
rarely measuring for changes during the unit which is crucial to implementing
remedial pedagogical strategies that might allow for greater student learning.
Only two studies (Hastie et al., 2009; Pritchard et al., 2008) utilized a mid-test in
order to access the evolution of students’ improvements during a unit. Finally,
most of the research focused on the educational impact of Sport Education
model does not consider the application of a retention test. In fact, this test is
perhaps crucial for a more accurate assessment of all students’ improvements
(Haerens and Tallir, 2012; Magill, 2011) than simply a post-test. From the
analysis of the empirical research focused on the impact of Sport Education on
students’ learning, only one study considered the application of a retention test
(Mesquita et al., 2012). In this study, the highest student improvements were
found in the second posttest and students continued to improve from the first to
the second posttest.
Control of the teaching-learning process
The devolution of content knowledge from the teacher to the student-
coach and student-coach leadership skills have been identified as potentially
problematic for content development during peer-teaching tasks (Hastie, 2000;
Wallhead and O'Sullivan, 2007). Despite this concern and the calls for the
analysis of the teaching-learning process (Hastie, 2000; Hastie et al., 2011;
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Wallhead and O'Sullivan, 2005), researchers have still fallen short in this area.
To date, research on Sport Education has only focused on students’ learning
outcomes and students’ and teachers’ perceptions. These types of studies are
potentially problematic since there is a lack of interpretation of the results
concerning students’ learning. Indeed, the studies are limited to the number of
lessons, the sport selected for the seasons under examination, the
characterization of the Sport Education unit and the content presented within
each of the lessons (e.g. Hastie, 1998a; 1998b; Mesquita et al., 2012).
Additionally, other authors have added instruction and treatment validity to
validate that the instruction was indeed consistent within the Sport Education
standards (Calderón et al., 2010; Hastie and Sinelnikov, 2006; Hastie et al.,
2009). Therefore, more research concerning the teaching-learning process,
particularly according to the dynamics of the peer-teaching tasks and the control
of the content to be taught within Sport Education units is needed.
Dynamics of the peer-teaching tasks
Despite not being specifically related to students’ learning, the dynamics of
the peer-teaching tasks have potential influence on learning outcomes. In fact,
opportunities for learning are seen as a complex relationship between the
students’ social task system and the instruction task system (Doyle, 1977).
Although not specifically related to students’ learning, some studies in this
review reported the occurrence of inequities during Sport Education units,
particularly during the competition phase (Brock et al., 2009; Curnow and
McDonald, 1995; Hastie, 1998a; Parker and Curtner-Smith, 2012a; 2012b).
More specifically, boys and higher skill-level students are dominantly positioned
over girls and lower skill-level students. Examples include taking most of the
leadership roles, controlling game play, making most of the decisions, claiming
best times and spaces in the gym, and usurping girls who were placed in
leadership roles (Brock et al., 2009; Curnow and McDonald, 1995; Hastie,
1998a; Parker and Curtner-Smith, 2012b; 2012a). Beyond that, the teachers in
the studies reviewed seem to do little to disrupt or dismantle this pattern,
thereby reinforcing traditional gender roles and expectations and considering
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55
these inequities as normal (Parker and Curtner-Smith, 2012a; 2012b). Future
research and Sport Education implementation should contemplate the control of
students’ participation in order to guarantee equitable participation (e.g. rotate
roles throughout the unit; examining social relationships between students
within peer-teaching tasks).
To date, there have only been two studies that considered the analysis of
the teaching-learning process (Hastie, 2000; Wahl-Alexander and Curtner-
Smith, 2013). Hastie (2000) analysed a Sport Education unit from an ecological
perspective and found high levels of student engagement in all dimensions
under analysis (instruction and management system). According to Hastie
(2000), these results can be explained by an inspection of Sport Education’s
specific features, namely, the management system (in which protocols were
carefully defined), the student social system (driven by team affiliation with all
students working toward common goals) and the content-embedded
accountability (where all tasks performed during the Sport Education unit
counted toward a team’s score). These results were supported by Wahl-
Alexander and Curtner-Smith (2013) who examined the influence of
negotiations between students and preservice teachers on instruction during
multi-activity curriculum and Sport Education lessons. Within multi-activity
lessons, negotiations were common and negative, increased as the unit
progressed, and adversely influence the preservice teachers’ practices. Sport
Education negotiations were relatively positive and occasional, declined
throughout the season and enabled the preservice teachers to provide quality
physical education lessons.
Through the study of the dynamics of the peer-teaching tasks it would be
possible to detect weaknesses in the implementation of the Sport Education,
which strengthen this model. More specifically, with the study of these dynamics
it would be possible to detect and reduce weaknesses in the social system
operating within the groups and achieve an effective program of action through
the alignment of the students’ social system and the instructional system. All of
this could be achieved without decreasing the strength of the social system (i.e.
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avoiding the oppression exercised by student-coaches on their peers) (Hastie,
2000; 2012).
Control of the content to be taught
The primary concern of Sport Education is the pedagogical environment
as is teacher and students’ roles. In essence, in his development of the model,
Siedentop (2004) desired the promotion of a more democratic and inclusive
pedagogy in order to provide richer and authentic sports experiences in physical
education (Siedentop, 1994). In this way, during a Sport Education unit there is
a need to control the content to be taught, particularly through the application of
hybrid models and protocols which promote the devolution of leadership and
knowledge from the teacher to student-coaches. To date, this issue has been
scarce in the research designs, reported in the literature.
The call to address the content knowledge domain has already been
somewhat answered through alliances between Sport Education and other
instructional models. Examples included hybrids between the Teaching Games
for Understanding (Hastie and Curtner-Smith, 2006), the Invasion Games
Competence Model specifically for the invasion games (Mesquita et al., 2012)
and the Step Game Approach for Volleyball (Mesquita et al., 2005). In these
hybrid units, the lesson structure followed Sport Education principles (persisting
teams, formal competition and student roles) whilst lesson tasks followed the
didactical framework of the other instructional model. However, to date only two
studies have reported outcomes from hybrid approaches (Hastie and Curtner-
Smith, 2006; Mesquita et al., 2012). In the first study Hastie and Curtner-Smith
(2006) examined the teacher’s and students’ perceptions and experiences
during a hybrid Sport Education – Teaching Games for Understanding unit. The
participants in this study were 29 sixth-grade students who participated in a 22-
lesson batting/fielding games season. Students were reported to be able to
understand, appreciate and implement rudimentary batting and fielding game
tactics. Mesquita et al. (2012) analysed the impact of a hybrid Sport Education -
Invasion Games Competence model on student’s skill and tactical development
and game performance. In this study, 26 fifth-grade students participated in a
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57
22-lesson soccer unit. Results revealed students’ improvements in skill
execution and tactical decisions, both defensive and offensive. Game scores
were particularly significant for girls. These results suggest the benefits of the
application of Sport Education simultaneously with other didactic models
specifically designed to teach the technical and tactical performance in team
sports.
Student-coaches’ content knowledge and pedagogical content knowledge
(Shulman, 1987) have been identified as potentially problematic during peer-
teaching tasks. Through a defined didactic research methodology (Amade-
Escot, 2005), Wallhead and O'Sullivan (2007) found a misalignment in the
emergence of the didactic contract during peer-teaching tasks. In that study
student-coaches showed difficulties in elaborating content through appropriate
demonstration, error diagnosis and task modification. These difficulties caused
problematic breaches in the didactic contract during peer-teaching tasks.
Beyond that, insufficient leadership skills of the student-coaches in the peer-
teaching tasks have been enhanced by research, such as management skills
and equity principles (Alexander and Luckman, 2001; Brock et al., 2009). Thus,
Sport Education implementations must be aware of how the devolution of
leadership skills from the teacher to student-coaches’ is made, and the issue
itself becomes a priority in the research agenda. The difficulties associated with
student-coaches’ knowledge and leadership skills emphasize the need to
provide more effective student-coaches’ preparation. That is, protocols which
examine the devolution of knowledge and leadership from the teacher to
student-coaches should be examined within Sport Education research. Indeed,
this is imperative given Siedentop’s (1995) claim that “a void exists in how to
identify, teach, and provide practice for the leadership skills necessary for
successful coaching within the tasks of the Sport Education curriculum”
(Siedentop, 1995, p. 22).
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Conclusion
Sport Education research has shown the robustness and strengths of the
model in providing richer experiences to students’ in the context of physical
education. Nevertheless, this article has shown several gaps in Sport Education
research which may help to explain the variable results concerning students’
learning. The control of the content to be taught has emerged as one of those
gaps. Despite research which has considered alliances between Sport
Education (focused on pedagogical environment) and instructional models that
define the learning tasks to be implemented considering the specificity of the
sport to be taught (Hastie and Curtner-Smith, 2006; Mesquita et al., 2012),
more research applying these hybrid approaches is needed. Moreover,
difficulties associated with student-coaches’ content and leadership skills have
been identified as problematic within Sport Education research. Therefore,
future research should define, implement, and evaluate protocols for student-
coaches’ preparation in order to understand the influence of this issue on
students’ learning.
Another gap identified was the effect of time on students’ learning
outcomes, which has not been completely controlled. In fact, research within
Sport Education has reinforced the influence of learning time (both the length
and the number of units) on students’ learning. Although learning time is
essential for any instructional approach, it takes particularly prominence within
Sport Education. Sport Education units with greater than 20 lessons and the
application of more than one unit consequently over time may serve to improve
the dynamics of social and instructional system that occur within working
groups, and consequently improve students’ learning. Furthermore, research
within Sport Education focused on students’ learning has used mainly one final
evaluation, which does not allow the assessment of the retention of students’
improvements. As noted there is evidence that when research considers
application the of a retention test, students’ improvements are found to be
superior (Mesquita et al., 2012). Future research may therefore consider the
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59
application of a retention test in order to a more complete assessment of
students’ improvements.
The analysis of students’ improvements when considering gender and skill
level separately has also shown a bias in the results of students’ learning.
Indeed, it is possible to observe that girls are usually the lower skilled students
at the beginning of the units (Hastie et al., 2009; Mesquita et al., 2012), which
demonstrate that skill level might be influenced by students’ gender. Brock et al.
(2009) showed two girls with high status in all the categories (such as,
personality, economic level, attractiveness, athletic, etc.), making almost all the
decisions for the team, and silencing the rest of the players of their team.
However, to date, there has only been one study that simultaneously
considered gender and skill level (Hastie, 1998b) (lower skilled female, medium
skilled make, higher skilled female and higher skilled male). Future studies
should therefore consider the interaction of gender and skill level in the analysis
of students’ learning improvements in order to obtain a more realist portrait of
the impact of Sport Education.
This review has also demonstrated that the analysis of students’ learning
has been centred on a superficial assessment of the teaching-learning process.
Indeed, Sport Education research regarding students’ learning has focused
mainly on the assessment of students’ improvements through the use of quasi-
experimental (pretest-posttest), descriptive and exploring (students’ and
teachers perceptions), in order to obtain performance measures. This review
has shown large gaps since it is possible to identify the performance level
achieved by the students, but it doesn’t allow access to the problems operating
within the instructional, social and management agenda. For instance, the
dynamics within the working groups should be considered in order to better
understand students’ learning opportunities. Only through understanding these
dynamics would it be possible to understand the teaching-learning process and
guide future Sport Education implementation. Appropriate studies would include
those that examine if learning opportunities provide inclusion and equity
participation, if the instruction given by the student-coach is sufficient to address
the problems that emerge during peer-teaching tasks, or if students’ status
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60
within working groups is based in equitable principles and inclusion, among
others. In order to reach an understanding of the teaching-learning process, it is
necessary to therefore use research designs that attend to the complexity of
this process. Action-research and case studies are two particularly research
designs with the potential to fill this void and provide a richer description of
Sport Education implementation. Particularly, action-research designs allow a
close monitoring in the implementation of pedagogical approaches (Casey and
Dyson, 2009), such is the case of Sport Education model, and allow teachers to
achieve better and further-reaching results when it is used to achieve
pedagogical change (Van Looy and Goegebeur, 2007).
Since the Hastie et al. (2011) review in which limitations and future
research directions were provided, some of areas of research on Sport
Education have not yet been examined in full, particularly the need for
longitudinal data collection and the deep analysis of student peer instruction.
These limitations might explain the lack of more complex, long lasting and
perhaps more expensive research designs.
Acknowledgements
This work was supported by a grant from the Portuguese Foundation for Science
and Technology (FCT) (SFRH/BD/72361/2010) / POPH / QREN / European Social
Fund awarded to the first author. Additionally, the authors would like to thank
Cláudio Farias for his assistance with the reparation of this manuscript.
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Education (2nd ed.). Champaign, IL: Human Kinetics.
Solmon, M., Lee, A., Belcher, D., Harrison, L. and Wells, L. (2003) Beliefs about
gender appropriateness, abiity and competence in physical activity.
Journal of Teaching in Physica Education 22, 671-279.
Strickwerda-Brown, J. and Taggart, A. (2001) No longer voiceless and
exhausted: Sport education and the primary generalist teacher. ACHPER
Healthy Lifestyles Journal 48, 14-17.
Vandenbrouck, J. P., von Elm, E., Altman, D. G., Gøtzsch, P. C., Mulrow, C. D.,
Pocock, S. J., Poole, C., Schlesselman, J. J. and Egger, M. (2007).
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107-126.
Wahl-Alexander, Z. and Curtner-Smith, M. (2013) Influence of negotiations
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Review Article
66
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the new millennium? Physical Education and Sport Pedagogy 10, 181-
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Key points
• Despite research regarding has showed students’ improvements during the
participation in Sport Education seasons, it remains somewhat equivocal.
• The studies included in this review show students’ improvements on skill,
knowledge and tactical development, as we as game play, during the
participation in Sport Education units.
• Some studies report superior learning opportunities to boys and higher skill-
level students while other studies exposed superior learning opportunities to
girls and lower skill-level students.
• The effect of time on students’ learning and the control of the teaching-
learning process within Sport Education units can explain these equivocal
results.
• Future research is encouraged to consider the implementation of protocols
for student-coaches’ preparation, hybrid models, a retention test, the
interaction of gender and skill level, and use research designs that attend to
the complexity of the teaching-learning process.
III. Empirical Studies
_________________________________________________
Empirical Study 1
_________________________________________________
Students’ Game Performance Improvements during a Hy brid Sport
Education–Step-Game-Approach Volleyball Unit
Rui Araújo 1, Isabel Mesquita 1, Peter A. Hastie 2 and Cristiana Pereira 1 1 Centre of Research, Education, Innovation and Intervention in Sport, CIFI2D,
Faculty of Sport, University of Porto, Porto, Portugal. 2 Kinesiology, Auburn University, Auburn, USA.
In press: European Physical Education Review (2015). doi:
10.1177/1356336x15597927.
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Abstract
The purpose of this study was to examine a hybrid combination of Sport
Education and the Step-Game-Approach (SGA) on students’ game play
performance in volleyball, taking into account their sex and skill-level.
Seventeen seventh-grade students (7 girls, 10 boys, average age 11.8)
participated in a 25-lesson volleyball season, in which the structural features
followed those of Sport Education and the specific content followed the
didactical framework of the SGA. Data were collected prior to the first lesson
(pre-test), following the completion of the unit (post-test) and seven days after
the post-test (retention). The GPAI was used in a systematic observation of
video records of students’ behaviors while playing a 10-minute 2vs2 game. A 2
(sex) x 3 (time) and a 2 (skill-level) x 3 (time) analysis of variance (ANOVA) with
repeated measures across the three tests was used to compare the students’
performances on all indexes. Results showed that both boys and girls made
improvements from the pre-test to the post-test and maintained those
improvements to the retention test in almost all the indexes analysed. Further,
the results also showed that lower skill-level students realized greater gains
than those of higher skill during the unit, which reinforces the idea that future
implementations of this hybrid approaches should adjust content and learning
task to different skill-levels.
Keywords
GPAI, learning outcomes, physical education, sex, skill-level.
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Introduction
Sport Education is a pedagogical model born from Siedentop’s (1994)
desire to provide richer and authentic sports experiences to students in the
context of physical education. By adopting a more democratic and inclusive
pedagogy that incorporates the key features of institutionalized sport, the goal
of Sport Education is the development of competent, literate and enthusiastic
sportspersons (Siedentop, Hastie and Van der Mars, 2011).
To date, reviews of research on Sport Education (Araújo, Mesquita and
Hastie, 2014; Hastie, Martinez de Ojeda and Calderón, 2011; Wallhead and
O'Sullivan, 2005) have highlighted evidence of the achievement of those goals.
With respect to competence, a number of authors have recognized the potential
of Sport Educaiton in developing students’ skill, game-play and tactical
awareness (Alexander, Taggart and Thorpe, 1996; Hastie, 1998b; Hastie,
Calderón, Rolim et al., 2013; Mesquita, Farias and Hastie, 2012; Pritchard,
Hawkins, Wiegand et al., 2008). Nevertheless, those reviews highlighted some
key factors that warrant further investigation (Araújo et al., 2014; Hastie et al.,
2011; Wallhead and O'Sullivan, 2005).
Research on competence in Sport Education
Araújo et al. (2014) have suggested that a key factor warranting further
investigation within the development of competence in Sport Education is that of
content development within seasons. The justification for this call lies in the
location of Sport Education as an “outward-focused” model (Hastie and Curtner-
Smith, 2006: 23), in which the primary concern is the performance of the
teacher and the students in their various participatory roles (Siedentop et al.,
2011). What is less understood with respect to Sport Education is the nature of
learning tasks and the content to be taught during seasons. Where such
investigation has taken place, it has been through the examination of hybrid
models which have used the organizational characteristics of Sport Education
(persisting teams, formal competitions, roles etc.) with other forms of game
based instruction that focus more on specific pedagogies. To date these have
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included “teaching games for understanding” (TGfU: Hastie and Curtner-Smith,
2006), and the “invasion game competence model” (IGCM: Mesquita et al.,
2012).
Sport Education hybrid models
When combining Sport Education and TGfU, Hastie and Curtner-Smith
(2006) found the act of teaching to be particularly labor-intensive, and given the
need for the teacher to drive and give momentum to the proceedings,
demanded that the teacher possess superior content and pedagogical content
knowledge. Notwithstanding, the specificity of tactics within team sports (in
particular the differentiation between invasion and non-invasion games) makes
it necessary to build models that attend to this specificity, which is not taken into
account by TGfU (Mesquita et al., 2012). In a study examining the impact of a
hybrid Sport Education-IGCM on students’ improvements, Mesquita et al.
(2012) found that the learning tasks structure provided by the ICGM offered
students the possibility to improve their skill execution and decision-making.
This outcome was particularly beneficial for girls and lower skill-level students.
Nevertheless, to date, no study has examined the effectiveness of hybrid
models in any form other than invasion games (Araújo et al., 2014; Harvey and
Jarret, 2014; Hastie et al., 2011; Wallhead and O’Sullivan, 2005). The Step-
Game-Approach model (SGA: Mesquita, Graça, Gomes et al., 2005) is one
such model that may provide an appropriate framework for the development of
game play ability in net/wall sports such as volleyball, badminton or tennis. In
the SGA, students are presented with progressive (step-by-step) game
problems that challenge their capacity for understanding and current
performance profiles. Within the SGA, three types of instructional tasks are
used. These are known as adaptation tasks (in which the goal, action structure
and basic tactical features are identical to the full game), structuring tasks
(comprehend the same tactical and technical skills of the game but without
opposition) and acquisition tasks (focused on the development of a specific
skill) (Pereira, Graça, Blomqvist et al., 2011).
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Research using the SGA has shown its effectiveness in the development
of volleyball game play performance (Mesquita et al., 2005). However, student
gains were not uniform across students, with girls and those in the lower skill-
level ranges seeming to improve more than boys and higher skill-level students.
The rational for combining Sport Education with the SGA is that the idea of the
persisting team allows students to practice together and to support and hold
their teammates accountable in their quest for success. Further, this affiliation
seems to promote increased engagement as all students (boys and girls, higher
and lower skilled) consider themselves as important and useful to their team’s
success (Hastie, 1998a, 1998b).
Purpose of this study
Given the lack of research on game play performance in Sport Education
non-invasion games, the purpose of the current study was to test the assertion
that a hybrid combination of Sport Education and SGA can promote students’
game play performance in volleyball. Within the study itself, a subsequent goal
was to determine the extent to which gains in students’ performance levels
might vary according to sex and skill-level.
Methods
Participants
The participants in this study were 17 seventh-grade students (7 girls, 10
boys, average age 11.8) from one middle school physical education class in
Northern Portugal. While the entire class consisted of 20 students, the data of
three students were not included in any analysis as they were not present for all
three assessments. The students had no previous experience learning
volleyball, and had not participated in Sport Education seasons prior to this
study. The teacher had more than twenty years of teaching experience, and one
year’s experience implementing both Sport Education and SGA models. The
Ethics Committee of researchers’ university approved the protocol of the study,
and all participants provided assent following parental informed consent.
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The Sport Education-SGA unit
The students participated in a 25-lesson volleyball unit that took place over
seven weeks. During each week, one lesson was allocated 45 minutes with the
second being of 90 minutes duration. The structural features of the unit followed
those of Sport Education (persisting teams, formal competition and student
roles), while the specific content and learning tasks followed the SGA model.
The complete unit plan is shown in Table 1.
The Sport Education features. In the first week of the unit (lessons 1 and
2), the students were divided into four mixed-ability teams of five students each.
Team allocation was based upon the teacher’s evaluation of the students’
performance on a volleyball lesson prior to the unit. The educational goals and
procedures of Sport Education were also introduced to students in these
lessons. During the following ten lesson (the pre-season), the students
participated in within-team practice in which they were given the opportunity to
practice skills and team-related roles. Non-consequence games (within and
against other teams) were also scheduled within these lessons. During the
competition phase (lessons 13-24), all teams participated in a series of matches
that counted towards a class championship. The formal competition schedule
guaranteed the equitable participation of all students by ensuring the same
playing time for all students and that all students competed in matches against
those of similar skill level.
Students also experienced different roles (coaches, referees and
statisticians) on a rotating basis. The student taking the role of coach was
chosen by the teacher. In this way, potential imbalanced power relations
between students based on status portrayed by accounts in earlier research on
Sport Education (e.g. Brock, Rovegno and Oliver, 2009; Hastie, 1998a) were
minimized. In addition, the students were held accountable for their fair-play
behaviours. For example, teams accumulated point penalties within lessons if
they displayed actions that compromised inclusive practices, effort, peer
encouragement, and engagement in the managerial tasks.
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The teacher took most of the instructional leadership responsibilities in the
beginning lessons. Nevertheless, throughout the season the student-coaches
were progressively called on to take upon more responsibility for instruction
during peer-assisted tasks. From leading instruction only during warm-ups from
lessons two through five, the students-coaches began to lead instruction from
lesson seven and chose the learning tasks deemed required for their teams’
performance improvements from lesson 11 onwards. The training of the
students-coaches included prior-lesson meetings throughout the unit where
they learned not only subject matter content, but also instructional strategies
related to task presentation, management and feedback.
The SGA processes. Based on students’ performance in a 2vs2
assessment test conducted prior to the unit, the first step game was applied
(Mesquita et al., 2005). The 2vs2 game is a modified game form most suitable
for the diagnosis of the level of the participants. On the one hand, it allows the
identification of basic performance levels when players are unable to minimally
sustain the ball. On the other hand, it also identifies performance levels above
that range from the minimum capacity to support the ball (step 2) to the capacity
of organizing game actions (early 3rd step), or even the ability to differentiate the
most suitable solutions for the game situation (early 4th step). The main goal of
the first step was for students to understand the logic of the simplest game
form, that being 1vs1. In order to maximize performance during the 1vs1 game,
two main tactical skills were taught. These were coined as “intervention” (get
your body to the ball), and “opposition” (send the ball to the vulnerable place on
the opponent’s court, both in the serve and in the attack). During this step, the
technical focus was on the overhead pass and the underhand serve. In the
second phase of the unit, the second step of the SGA was also taught, in which
the main goal was to cooperate with the teammate in the 2vs2 game. The SGA
suggests the introdution of the forearm pass because after learning the
overhead pass the player needs another skill for touching the ball coming from
lower and faster trajectories. Nevertheless, there was no time during the unit to
teach this skill.
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This Sport Education-SGA hybrid also comprised procedures for game
modification, namely representation and exaggeration modes (Thorpe, Bunker
and Almond, 1984). Throughout the unit, based on the previous
recommendations of Mesquita et al. (2005), some rules were adapted in order
to provide a more developmentally appropriate form. First, one rebound was
permitted when necessary, as it provided more time to analyse the trajectory of
the ball and helped players to place their bodies behind the ball. Second,
double touches were allowed in order to permit players to correct a previous
defective contact.
During team and individual practice sessions, three types of instructional
tasks were used. In the adaptation tasks, the goal, action structure and basic
tactical features were identical to the full volleyball game. Nevertheless, in order
to improve the quality of game play, the teacher found it was not sufficient to
work directly on adaptation tasks. When students were not able to control
actions to play basic game tasks, the structuring tasks afforded students the
opportunity to improve the quality of tactical and technical skills. These tasks
preserved the sequence of defensive and/or offensive actions even if the choice
of possible solutions to the actual game problem had to be restricted. Beyond
that, when necessary, acquisition tasks were also used. These tasks were only
focused on the development of a specific piece of technical or tactical content.
From the first to the last lessons, the variability of practice was gradually
reduced, but the time spent in acquisition tasks was reduced to the minimum
necessary to prevent game disruption (Mesquita et al., 2005).
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Table 1. Sport Education-SGA Volleyball unit outline. Lesson Content
1 and 2
Explanation of the model and competition format Allocation of teams and individual roles Teacher-directed instruction: overhead pass, 1vs1 Within-team event practice
3 Teacher-directed instruction: overhead pass and 1vs1 (position on court) Within-team practice
4 and 5 Teacher-directed instruction: overhead pass, 1vs1 (intervention) Within-team practice
6 Teacher-directed instruction: overhead pass, 1vs1 (intervention) Within-team practice
7 and 8
Student-directed instruction: warm-up, overhead pass and 1vs1 (opposition) Lesson planned by the teacher Within-team practice and role practice (shared teacher- and student-directed monitoring)
9
Student-directed instruction: warm-up, overhead pass and 1vs1 (opposition) Lesson planned by the teacher Within-team practice and role practice (shared teacher- and student-directed monitoring)
10
Student-directed instruction: warm-up, overhead pass and 1vs1 (opposition) Lesson planned by the teacher Within-team practice and role practice (shared teacher- and student-directed monitoring)
11 and 12
Student-directed instruction: warm-up, serve and 1vs1 (opposition) Lesson planned by the teacher with students having the opportunity to plan some learning-tasks Within-team practice and role practice (shared teacher- and student-directed monitoring)
13
Formal Competition: 1vs1 Student-directed instruction: warm-up, serve and 1vs1 (opposition) Lesson planned by the teacher with students having the opportunity to plan some learning-tasks Within-team practice and role practice (shared teacher- and student-directed monitoring)
14 and 15
Formal Competition: 1vs1 Student-directed instruction: warm-up, and 1vs1 Lesson planned by the teacher with students having the opportunity to plan some learning-tasks Within-team practice and role practice (shared teacher- and student-directed monitoring)
16
Formal Competition: 1vs1 Student-directed instruction: warm-up, and 1vs1 Lesson planned by the teacher with students having the opportunity to plan some learning-tasks Within-team practice and role practice (shared teacher- and student-directed monitoring)
17 - 19
Formal Competition: 1vs1 and 2vs2 Student-directed instruction: warm-up, and 1vs1 Lesson planned by the teacher with students having the opportunity to plan some learning-tasks Within-team practice and role practice (shared teacher- and student-directed monitoring)
20-24
Formal Competition: 2vs2 Student-directed instruction: warm-up, and 2vs2 Lesson planned by the teacher with students having the opportunity to plan some learning-tasks
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Within-team practice and role practice (shared teacher- and student-directed monitoring)
25 Culminating event
Instructional and treatment validity
In order to determine the influence of a particular pedagogical model in
students’ learning, it was critical to validate that the instruction was consistent
with accepted standards of the models and if the contextual features allowed for
the successful implementation of those models (Hastie and Casey, 2014).
Itemizing teacher and learner processes. A 10-item checklist (Table 2) with
benchmarks was adapted from Hastie et al. (2013) and Pereira et al. (2011) to
confirm the behavioral fidelity of the teacher’s instruction according to the Sport
Education model and SGA. One researcher of the present study and an
outside-trained observer not associated with the study (but with extensive
research in instructional models in physical education) observed randomly
selected lessons of the unit to assess the presence of those items. Items 1, 3,
4, 5, 7, 8 and 9 are characteristics of Sport Education, while the rest of the
items are related to SGA model. A 100% agreement between these observers
confirmed the absence of doubt regarding the instructional model used in each
lesson.
Contextual and operational requirements. For an instructional model to
work it has to reunite some favourable contextual conditions, such as teacher
expertise and operational requirements (Metzler, 2011). With respect to teacher
expertise, the teacher participated in a Sport Education professional
development program during the year previously to this study. The workshop
consisted of (a) several lectures focused on teaching styles and instructional
models; (b) lectures on the features of the Sport Education model as well as its
conceptualization and purposes; (c) the application of Sport Education to
teaching individual sports with the example of track and field seasons; (d) the
application of Sport Education to teaching volleyball; and (e) Sport Education
research: domains and empirical evidence. Also during the year prior to this
study the teacher had accomplished his master’s degree, which involved the
implementation of a hybrid Sport Education-SGA volleyball unit. Finally, the
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space (at least three volleyball courts in all lessons) and material available for
practice (e.g. balls, cones, scorers, whistles, etc.) were sufficient to create the
necessary conditions to maximize student learning during practice and
competition.
Table 2. Instructional checklist (adapted from Hastie et al., 2013 and Pereira et al., 2011). Element of the lesson Present Absent 1. Group of students go to a designated home
area and begin warming up with that group.
2. The tasks under observation are basic game forms, game-like tasks or acquisition tasks, and the time spent in acquisition tasks is reduced to the minimum necessary.
3. Students practice together with their group/team under the direction of a peer leader.
4. The content of the task is related with the stage of the SGA that is being taught during the unit.
5. Students remain a part of easily identifiable groups throughout the lesson and throughout different tasks.
6. All the tasks are related with the small-sided game that is being taught.
7. Performance records are kept by students. 8. Students perform specialized tasks within
their group/team.
9. Student performance scores count toward a formal and public scoring system.
10. Modifications to the full-game were performed.
Design
The goal of this study was to examine the efficacy of a particular
curriculum intervention in promoting improvements in students’ volleyball game
play skills. It was not the goal to demonstrate the superiority of this model over
other forms of instruction, but merely to determine if improvement scores were
possible in this context. By consequence, a pre-post-retention test quasi-
experimental design was used without the concurrent application of a control
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81
group, which is consistent with the designs of other studies involving hybrid
models (e.g. Mesquita et al., 2012; Pritchard, McCollum, Sundal et al., 2014).
Data collection
Data were collected prior to the first lesson of the unit (pre-test: PreT) and
following completion of the unit (post-test: PosT). Consistent with the
recommendations of Haerens and Tallir (2012) and Magill (2011), a retention
test (ReT) was also applied seven days after the PosT in order to provide a
more accurate assessment of all students’ improvements. During this time from
PosT to ReT, none of the students received any instruction related to either
Sport Education or volleyball.
A systematic observation of video records of students’ behaviors while
playing a 10 minute 2vs2 game was used in order to analyse students’ play
performance at the PreT, PosT and ReT. The Game Performance Assessment
Instrument (GPAI; Oslin, Mitchell and Griffin, 1998) adapted to volleyball by
Mesquita et al. (2005) was used. More specifically, the tally scoring method
recommended by Mitchell, Oslin and Griffin (2006) was used, in which students’
game play actions were assessed as appropriate/effective or
inappropriate/ineffective responses. When the amounts of those actions were
totalled, an individual component index was calculated.
For the purpose of the present study four indexes were calculated. These
were Decision Making (DM), Adjust (ADJ), Skill Efficiency (SE) and Skill
Efficacy (SEF). The DM index refers to the ability to choose which movement to
execute in response to a tactical problem (for instance, play the ball to the
vulnerable place of the opponent’s court). In addition, ADJ involves the ability to
adjust position to the play the ball (for instance, adjust a position to play the ball
according to the player who does the 2nd touch). Moreover, after the players
decide what they are going to perform and adjust as needed to the game, skill
execution (for instance, raise and cup hands in front and above the forehead in
order to touch the ball) and skill efficacy (point, continuity or error in the attack)
should be attended to achieve the desired outcome (Mitchell et al., 2006).
Narrow definitions of these behaviors were developed in order to specifically
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82
and reliably identify appropriate and inappropriate actions (Memmert and
Harvey, 2008). The Game Performance (GP) index was also calculated
[(DMI+AI+SEI+EFI)/4] as was Game Involvement (GI; Mitchell et al., 2006). A
total of 18368 students’ behaviours in a total of approximately 510 minutes of
observations were collected.
Reliability
The reliability of the data was examined from two perspectives, namely
intra-observer (15 days after the first observation) and inter-observer testing
procedures (performed by a second observer). Keeping with the
recommendations of Tabachnick and Fidell (2007), over 10 % of all player
actions were examined. Two observers with experience in the area of
instructional models, particularly Sport Education, and also volleyball coaches
and former volleyball players conducted the reliability analysis. Both received
training in order to effectively identify appropriate and inappropriate actions.
This reliability was calculated with all indexes considered in the present study
(in a total of 36) using the Intraclass Correlation Coefficients (ICC; Atkinson and
Nevill, 1998; Baumgartner and Jackson, 1995). The only correlation scores that
fell below the recommendations of van der Mars (1989) were for DM at post-test
for both inter and intra-oberver assessments (0.66 and 0.77 respectively).
Data analysis
A 2 (sex) x (time) and a 2 (skill-level) x (3 (time) analysis of variance
(ANOVA) with repeated measures across the three tests (PreT, PosT and ReT)
was used to compare the students’ performances on all indexes. Skill-level
groups were determined through a non-hierarchical cluster analysis based on
students’ performance on the PreT using the K-means method with the number
of clusters being fixed at two (Cluster 1: 11 higher skill-level students; Cluster 2:
6 lower skill-level students).
The data of the repeated measures ANOVA were subjected to Mauchley’s
test for sphericity. When the Mauchley’s sphericity assumption was violated, the
ANOVA results were adjusted using the Geisser-Greenhouse correction. Main
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effects and interactions were analysed and subsequent Bonferroni post hoc
comparisons to access better where differences occurred.
Results
The students’ performance for all indexes at the three time points of the
unit are shown in Table 3. From this table, it can be see that the whole class
made significant improvements in almost all areas of volleyball play from PreT
to PosT, and maintained these improvements at least until the ReT. Only the
DM index showed no differences across the three points of assessment. In
addition, figure 1 outlines the game performance improvements of all students
throughout the season.
Table 3. Student performance for all indexes.
PreT M (SD)
PosT M (SD)
ReT M (SD)
Time effect
F p η2
PreT-PosT comparison
PostT-ReT comparison
F p η2
F p η2
GP
0.58 (0.18)
0.75 (0.07)
0.73 (0.08)
12.91 <0.001 0.465
18.33 0.001
0.4534
1.10 0.310 0.064
GI
189.82 (82.27)
358.41 (140.09)
382.71 (126.43)
40.62 <0.001 0.717
52.78 <0.001
0.767
1.00 0.332 0.059
DM
0.47 (0.19)
0.61 (0.13)
0.57 (0.16)
2.98 0.065 0.157
6.02 0.026
0.273
0.539 0.474 0.033
AD
J 0.55 (0.18)
0.72 (0.08)
0.72 (0.09)
12.39 <0.001
0.44 13.90 0.002
0.465
0.00 0.985
0.00
SE
0.72 (0.25)
0.91 (0.07)
0.89 (0.08)
8.87 0.001
0.38 10.54 0.005
0.397
2.051 0.171
0.114
SE
F
0.56 (0.24)
0.75 (0.13)
0.73 (0.14)
11.45 0.002 0.42
13.36 0.002
0.455
0.592 0.453 0.036
M – mean; SD – standard deviation.
Analysis by sex
Results from the repeated measures ANOVA are shown in Table 4. From
this table it can be seen that there was a significant main effect for time for all
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variables, but the only significant sex x time interaction was found for GI. In this
case, the gains for boys were more substantive than those for girls. Post hoc
analysis of all variables showed improvements from PreT to PosT and no
difference between the PosT and ReT.
Figure 2 - Students' game performance improvements throughout the season
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Table 4. Performance for all Indexes by students’ sex.
Boys Girls Time effect
Sex x time interaction
F p η2
PreT-Post comparison
PosT-ReT comparison
PreT M (SD)
PosT M (SD)
ReT M (SD)
PreT M (SD)
PosT M (SD)
ReT M (SD)
F p η2
F p η2
F p η2
GP
0.65 (0.12)
0.76 (0.07)
0.74 (0.09)
0.47 (0.20)
0.72 (0.07)
0.71 (0.07)
16.98 <0.001 0.531
22.56 <0.001 0.601 0.903 0.057
2.53 0.12 0.144
GI 216.30
(92.77) 448.80 (103.45)
439.80 (127.03)
152.00 (48.01)
229.29 (56.67)
301.14 (72.32)
50.08 <0.001
0.770 125.38 <0.001
0.893 1,83 0.20
0.109 7.58 0.002a
0.34
DM
0.56 (0.11)
0.62 (0.13)
0.57 (0.17)
0.35 (0.21)
0.59 (0.14)
0.58 (0.16)
4.12 0.02 0.216
8.51 0.011 0.362
0,405 0.534 0.026
2.46 0.10 0.141
AD
J
0.58 (0.20)
0.74 (0.03)
0.73 (0.08)
0.51 (0.15)
0.70 (0.12)
0.70 (0.11)
11.73 <0.001
0.439 13.55 0.002
0.467 0.001 0.979
0.00 0.11 0.81
0.70
SE
0.76 (0.22)
0.89 (0.08)
0.87 (0.09)
0.65 (0.29)
0.94 (0.03)
0.92 (0.05)
10.26 <0.001 0.406
12.20 0.003 0.449
1.79 0.201 0.107
1.57 0.22 0.095
SE
F 0.68
(0.11) 0.81 (0.12)
0.80 (0.12)
0.38 (0.26)
0.66 (0.07)
0.64 (0.11)
13.33 <0.001 0.470
15.68 0.001 0.511
0.56 0.466 0.036
1.80 0.18 0.107
M – mean; SD – standard deviation. a Boys (p<0.001) showed superior improvements than girls p=0.007) from the PreT to the PosT.
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Table 5. Performance for all indexes by students’ skill-level.
Boys Girls Time effect Skill-level x
time interaction F
p η2
PreT-Post comparison
PosT-ReT comparison
PreT M (SD)
PosT M (SD)
ReT M (SD)
PreT M (SD)
PosT M (SD)
ReT M (SD)
F p η2
F p η2
F p η2
GP
0.69 (0.08)
0.73 (0.07)
0.73 (0.09)
0.37 (0.11)
0.73 (0.07)
0.74 (0.06)
58.453 <0.001
0.796 80.90 <0.001
0.844 0.470 0.504
0.030 30.86a <0.001
0.673
GI 218.55
(89.76) 402.36 (126.39)
416.73 (131.14)
137.17 (20.12)
277.83 (137.15)
320.33 (97.69)
34,216 <0.001 0.695
44.03 <0.001 0.746
1.20 0.291 0.074
0.39 0.682 0.25
DM
0.57 (0.08)
0.65 (0.10)
0.55 (0.19)
0.31 (0.21)
0.53 (0.15)
0.61 (0.10)
5.226 0.011 0.258
7.50 0.015 0.33
0.026 0.874 0.002
4.63a 0.018 0.236
AD J 0.65
(0.12) 0.72 (0.06)
0.74 (0.09)
0.37 (0.11)
0.72 (0.12)
0.69 (0.09)
26.492 <0.001
0.638 38.63 <0.001
0.720 0.081 0.780
0.005 10.16a 0.002
0.404
SE
0.86 (0.09)
0.91 (0.06)
0.88 (0.08)
0.45 (0.23)
0.92 (0.09)
0.92 (0.08)
45.218 <0.001 0.758
56.34 <0.001 0.790
1.20 0.289 0.074
34.51a <0.001 0.697
SE F 0.66
(0.13) 0.75 (0.15)
0.74 (0.13)
0.37 (0.28)
0.75 (0.10)
0.72 (0.17)
24.043<0.001 0.616
30.33 <0.001 0.669
0.653 0.432 0.042
9.46a 0.002 0.387
M – mean; SD – standard deviation. a Only lower skill-level students improved (p<0.001 from PreT to PosT to GP, ADJ, SE and SEF; p=0.015 from PosT to ReT to DM).
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Analysis by skill-level
Table 5 shows the students’ performance by skill level. A significant main
effect for time was found for all variables. Similar to the analysis by sex,
improvements were from PreT to PosT. A number of significant skill-level x time
interactions were found, with the lower skill-level students showing greater
improvements from PreT to PosT for GP, ADJ, SE and SEF, and only from
PreT to the ReT for DM.
Discussion
The present study sought to examine students’ performance
improvements following a hybrid Sport Education-SGA volleyball unit. The
results showed that the Sport Education-SGA was an effective hybrid model in
improving game performance and involvement in volleyball, including the
subcategories of decision-making, adjustment, skill efficiency and skill efficacy,
from the entry to the end of the unit. Results also showed maintenance of these
improvements to the retention test.
Improvements related to students’ sex
In this Sport Education-SGA hybrid model both boys and girls made
improvements from the pre-test to the post-test and maintenance of those
improvements to the retention test in almost all the indexes analysed.
Differences according to students’ sex were only found on the game
involvement index, favoring boys. However, despite the importance of game
involvement to the students’ overall game performance (Memmert and Harvey,
2008), this index might not translate students’ improvements but only how
participants are involved during game play (Pritchard et al., 2008). For example,
during long rallies, game involvement scores will increase, but there is also the
potential that students can show lower game performance scores (i.e. if there
was a long rally, game involvement can have higher scores but students can
also show only inappropriate actions in all other game play indexes).
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Research focused on Sport Education (Hastie, 1998a, 1998b; Hastie,
Sinelnikov and Guarino, 2009; Pereira, Hastie, Araújo, et al., 2015) and hybrid
models (Mesquita et al., 2012) that considered sex in the analysis of students’
improvements have often produced contradictory results (Araújo et al., 2014).
For example, some studies report superior learning opportunities for boys
(Hastie, 1998a, 1998b; Hastie et al., 2009) while for others, girls are favoured
(Pereira et al., 2015; Mesquita et al., 2012). In the particular case of the study of
Mesquita et al. (2005) with the application of the SGA model, the authors found
that girls achieved greater advantages from the program, particularly in some
tactical and technical skills. In the present study, the learning environment
sustained over the hybrid season seemed effective in minimizing inequities and
power imbalances between boys and girls. Both groups had access to game
roles (statistician, referee, player) on a rotating basis and the formal competition
schedule ensured the same opportunities for boys and girls to practice and
compete. Moreover, the powerful team roles (in this case, the student-coach)
were chosen by the teacher in order to prevent imbalanced power relations
between students based on their sex. In addition, the accountability systems
applied during the learning tasks promoted learning opportunities for all
students, broadly to boys and girls. These included the requirement that the ball
had to be touched by all players (a minimum of 2 tocuhes per team required)
and the promotion of three touches to send the ball to the opponent’s court (for
instance, more points to the team who execute three touches) during the 2vs2
game, as well as that all students should participate in all the functions of the
drill (i.e. server, receiver, setter, attacker, and defender).
Improvements related to students’ skill-level
The results of this study seem to suggest that lower skill-level students
were the primary beneficiaries of the hybrid unit, a finding that corroborates
previous research on Sport Education (e.g. Carlson and Hastie, 1997; Mesquita
et al., 2012; Pereira et al., 2015) as well as SGA (Mesquita et al., 2005). While
the lower skill-level students improved on all parameters of game play, those
who began the season with higher entry levels may have been limited by a
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ceiling effect. It is positive to note, however, that for some dimensions (e.g. DM,
ADJ, SE and SEF), the final scores of the lower skilled students were matching
the entry scores of the higher skill-level students.
One factor that may have limited the development of the higher skilled
students was the nature of the formal competition. That is, while all students
participated in the same formal competition with the 1vs1 small-sided game, the
higher skill-level students may have needed more challenging contests
(perhaps more time dedicated to the 2vs2) in order to ensure that all students
worked according to what Vygotsky (1978) called their “zone of proximal
development”. As such, future Sport Education-SGA units’ plans should adjust
content and learning task to the different skill-level presented within the
participants of the season, notably through task modification. Examples might
include modification by representation and exaggeration, as well as
differentiated criteria of success within the tasks according to students’ skill
level. More use of the notion of “graded competition” might also be warranted.
Siedentop et al. (2011) describe graded competition as a case where each
team creates sub-teams who then compete against other students of similar
skill levels. In some cases, the games themselves may differ with respect to
court size and/or scoring rules.
Overall, this study has shown that this Sport Education-SGA hybrid unit
had a positive impact on game play performance of both boys and girls.
Nevertheless, this study also showed that lower skill-level students realized
greater gains than those of higher skill during the unit, which reinforces the idea
that future implementations of this hybrid approaches should adjust content and
learning task to different skill-levels. Given the results of the present study,
future Sport Education implementation should move forward to designs that
attend to the individual rhythm of learning without losing the affective and social
goals of this model. As aforementioned, the content and learning tasks
presented within the season should be adjusted according to students’ skill-
level. In this way, it would be possible to provide authentic and rich sport
experiences to all students in the context of physical education (Siedentop,
1994).
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This study also showed that the use of the retention test was particularly
crucial to a more accurate assessment of all students’ improvements during this
hybrid Sport Education-SGA unit (Haerens and Tallir, 2012; Magill, 2011). This
suggests the need to evaluate students’ learning outcomes beyond the end of
the instructional period. As already stated by (Mesquita et al., 2012: 215)
“teachers should evaluate the impact of the teaching-learning process not just
at the end of the units, but also at a later date, as the time effect may have a
significant influence on learning gains.”
Nevertheless, the results of the present study are limited to inferences
made from a single unit experience of a hybrid model. Research suggests that
skilful game play takes time and the application of more than one unit
consecutively over time might benefit the dynamics of social and instructional
systems within working groups and consequently improve students’ learning
(Araújo et al., 2014; Brunton, 2003; Wallhead and O'Sullivan, 2005). Future
research should therefore analyse the impact of these hybrid instructional
models with a more longitudinal data collection that extends beyond one or two
units.
Future research should also move forward to research designs that attend
to the complexity of teaching and learning processes and the working dynamics
operating within teams (Araújo et al., 2014; Hastie et al., 2011; Wallhead and
O'Sullivan, 2005). Therefore, research is encouraged to use more qualitative
research designs to examine students’ engagement and the dynamics
operating within these two instructional models or in fact any instructional
models (Pereira et al., 2015). For instance, research has highlighted inequities
related to students’ status (Brock et al., 2009), which should be deeply analysed
in order to guide future hybrid implementations. Among these research designs,
action-research and case studies are two possible ways to provide a richer
description of model-based instruction.
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Conclusions
The results of the present study strongly reinforce the value of
incorporating instructional models that provide a more purposeful didactical
framework to Sport Education, in particular respect to the tasks and the content
to be taught. Only with these alliances between instructional models with
different frameworks it would be possible to achieve the learning outcomes
without losing the affective and social goals of Sport Education that are so
valued by students. In particular, both boys and girls improved in all the game
play dimensions from the beginning to the end of the season. Notwithstanding,
when students’ skill-level was considered, only lower skill-level students made
significant improvements, which suggests that future implementation should
consider students’ different skill-levels in the developing of content within the
season.
Acknowledgements
The authors would like to thank Cláudio Farias and Professor José Maia for
their assistance with the preparation of this manuscript.
Funding
This work was supported by the Portuguese Foundation for Science and
Technology (FCT) / POPH / QREN / European Social Fund [grant number
SFRH/BD/72361/2010].
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Empirical Study 2 _________________________________________________
The instructional evolution of the student-coach in a combined use of
Sport Education and Step-Game-Approach
Rui Araújo 1, Isabel Mesquita 1, and Peter A. Hastie 2 1 Centre of Research, Education, Innovation and Intervention in Sport, CIFI2D,
Faculty of Sport, University of Porto, Porto, Portugal. 2 Kinesiology, Auburn University, Auburn, USA.
Submitted: Journal of Teaching in Physical Education
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Abstract
The purpose of this study was to examine the instructional weaknesses of
student-coaches and the impact of specific student-coaches’ preparation
protocols on their instructional evolution throughout three hybrid Sport
Education-SGA seasons. The results highlighted the efficacy of the protocols
implemented during the second and third units and gives insights for the
importance of specific formats for student-coaches’ instructional preparation.
Given the instructional difficulties encountered in the first season (task
presentation, error diagnosis, feedback and task modification) a protocol for
student-coaches instructional preparation was implemented during the second
season. Despite student-coaches’ instructional improvements during this
second season, they still showed some remaining instructional difficulties.
Therefore a second protocol to the preparation of these students with the use of
video watching and planning sheets was developed during the extracurricular of
the third unit. Both protocols allowed a complete transfer of the instructional
responsibility from the teacher to the student-coaches.
Introduction
Model-based practice has been considered the “white hope” (Casey,
2014, p. 19) and the “wave to the future” (Dyson, Griffin & Hastie, 2004, p. 237)
to replace the traditional teacher-centred practice in Physical Education
(Metzler, 2011). Sport Education is regarded as one of the innovative sport-
based pedagogical models, and it was designed to provide authentic and
educationally rich sport experiences in the context of Physical Education
(Siedentop, Hastie & Van der Mars, 2011). The overriding goals of Sport
Education are the development of competent, literate and enthusiastic sports
players (Siedentop et al. 2011), and reviews of research (Araújo, Mesquita &
Hastie, 2014; Hastie, 2012; Hastie, Martínez de Ojeda, & Calderón, 2011;
Wallhead & O’Sullivan, 2005) have reported varying degrees of
accomplishment of these goals. Perhaps the most up to date status on Sport
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Education research comes from Hastie (2012, p. 10) who suggests “evidence
for competency is ‘burgeoning and developing’, support for literacy is
‘emerging’, and that enthusiastic responses by students have been ‘significantly
substantiated’”.
Central to the concept of Sport Education is the persisting team, and
within this team, the allocation of students to roles other than player. Examples
within teams include coach, equipment manager, or fitness leader, while those
within matches include roles as referees, scorekeepers and statisticians.
Studies in Sport Education that have specifically examined role involvement
report that students enjoy taking administrative roles and achieve high levels of
congruent behaviours when officiating games (Hastie, 1996; Hastie &
Sinelnikov, 2006; Layne & Hastie, 2014).
Apart from officiating, the other central role within Sport Education that is
different from more traditional Physical Education is the student-coach. This
player is expected to provide general team leadership, direct skill and strategy
practice, and make decisions about team line-ups (Siedentop et al., 2011).
However, with the exception of the study of Wallhead and O’Sullivan (2007),
there has been no examination of student-coaches’ instructional competence
and performance within peer-assisted tasks. It is therefore not surprising that
several authors have called for the analysis of student-coach leadership skills
and instructional competence within the peer-assisted tasks in Sport Education
(Hastie, 2000; Hastie et al., 2011; Wallhead & O’Sullivan, 2005). This is
particularly relevant given Wallhead and O’Sullivan’s finding of student-coaches’
inability to elaborate content through appropriate demonstration, error diagnosis
and task modification. In that study, these limitations lead to the learning of only
lower level solutions to offensive tag rugby problems, rather the development of
student content knowledge and performance of higher order content.
Nevertheless, while the Wallhead and O’Sullivan (2007) study was able
to identify the student-coaches’ instructional difficulties, it was also limited in a
number of ways. In particular, Wallhead and O’Sullivan followed only one team
over the course of a single season of 15 lessons. If we accept the notion that
“skilful game play takes time” (Rink, French & Graham 1996, p. 494), then it
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could be equally suggested that skilful games teaching take time. By
consequence, the application of more than one season may be necessary in
order to truly appreciate the dynamics of any intervention into the social and
instructional systems that occur when students work in persisting teams
(Brunton, 2003). This is particularly the case given that the complexity of task
organization within Sport Education. For example, teachers and coaches are
required to attend to many managerial roles such as organizing team and class
tasks, establishing formal competition protocols, and allocating students to sub
teams, among others.
Given the central place of the student coach within Sport Education
research, and given the paucity of research on student-coaches, the purpose of
the present study was to assess the effectiveness of specific coach training
protocols on student-coaches’ instructional effectiveness. That is, we sought to
identify the difficulties encountered by student-coaches during peer-assisted
tasks and then evaluate the interventions that were put in place across three
Sport Education seasons designed to address those difficulties. Siedentop
(1995) was the first to suggest that “a void exists in how to identify, teach, and
provide practice for the leadership skills necessary for successful coaching
within the tasks of Sport Education (Siedentop, 1995, p. 22).
Methods
Participants
At the commencement of the study the participants consisted of 21
students (11 boys and 10 girls, average age = 12.0) from one Physical
Education class of a school in the north of Portugal. The class met twice a
week, with one lesson scheduled for 45 minutes and the other for 90 minutes.
The teacher who presented the three seasons had more than 20 years of
teaching experience, and one year of applying both Sport Education and SGA
prior to this study. For all students however, this was their first experience with
the model. The ethical committee of the authors’ university approved the
research protocol. To guarantee students’ anonymity and to distinguish their
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100
opinions, all the participants were provided with pseudonymous: the student-
coaches were Afonso, Cláudio and Tiago; and peer-participants were Ana,
Alexandre, Cristiana, Diana, Isabel, Mário, Patrícia, and Rúben.
Design of the study
This study followed a longitudinal design that included three hybrid Sport
Education and Step-Game-Approach (SGA) volleyball seasons and two
protocols of student-coaches’ preparation over three years. The study started
when students were in the seventh-grade and ended during their ninth-grade
year. Given that the specificity of content can influence the evolution of student-
coaches’ instructional skills, the same sport was used across the three years
(i.e. volleyball). The students remained in the same class throughout the entire
study and despite some minor player changes from one season to the next, the
makeup of the teams and student-coaches maintained consistent throughout
the entire study. In the time between the three seasons, the Physical Education
lessons were taught not using Sport Education or SGA as models, and did not
involve volleyball as content. The three seasons lasted between 20 and 25
lessons, and contained all Sport Education characteristics (Siedentop et al.,
2011) (i.e. seasons, persisting teams, formal competition, record keeping,
festivity and a culminating event), while the specific content and learning tasks
followed the SGA model (Mesquita, Graça, Gomes & Cruz, 2005). Table 1
provides a complete outline of the season plans for each of the three seasons.
The Sport Education features. All of the seasons were divided into
phases of skill and tactical development, non-consequential practice matches,
and formal competition. The purpose of the early lessons was to address the
educational goals and procedures embedded in Sport Education, and students’
allocation into mixed-ability teams (according to pre-unit assessments of the
students). In the two first seasons students were allocated on four teams and in
only three in the third season. The roles taken within each team were players,
student-coaches, equipment managers, statisticians and referees. The second
phase of the season was dedicated to within-team practices, learning about
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officiating responsibilities, and scrimmage game play and formal competition. In
the final phase of the season a culminating event was organized.
The SGA features. During the first season, the first step game was
applied (Mesquita et al., 2005). The main goal was for students to learn the
simplest game form (1vs1). Two main tactical skills, namely intervention, and
opposition and two technical skills, namely overhead pass and underhand serve
were taught. Nevertheless, given the simplicity of the 1vs1 game, the 2vs2 was
also included in the end of this season without requiring tactical demands
related with the teammate or the opposite team. The second and third seasons
were dedicated to the second step of SGA, namely to cooperate with the in the
2vs2 game teammate and forearm pass. The three seasons comprehended
task modification by representation and exaggeration, as well as all types of
instructional tasks (acquisition, structuring and adaptation) were used.
Protocols of student-coaches preparation. The purpose of the first Sport
Education season was to act as a baseline in which data were collected to
identify any instructional limitations of the student-coaches. Based on those
limitations, a protocol for student-coach preparation was developed. The impact
of this protocol was examined throughout the second season, in which the focus
was on both improvements in effectiveness as well as possible remaining
instructional difficulties. A second (and somewhat different) protocol for student-
coaches’ preparation was subsequently developed for implementation during
the third season.
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Table 1. Unit plans for the three Sport Education-SGA seasons First unit Second unit Third unit Lesson 1 and 2 Explanation of the model and competition format Allocation of teams and individual roles Teacher-directed instruction: overhead pass, 1vs1 Within-team practice Lesson 3 - 6 Teacher-directed instruction: overhead pass, 1vs1 (displacement and position in court) Within-team practice Lesson 7 - 10 Student-directed instruction: warm-up, overhead pass and 1vs1 (opposition) Lesson planned by the teacher Within-team practice and role practice (shared teacher- and student-directed monitoring) Lesson 11- 16 Student-directed instruction: warm-up, underhand serve and 1vs1 (opposition) Lesson planned by the teacher and students had the opportunity to plan some learning-tasks Within-team practice and role practice Formal competition: 1vs1 Lesson 17-24 Formal Competition: 1vs1 and 2vs2 Student-directed instruction: warm-up, 1vs1, and 2vs2 Lesson planned by the teacher with students having the opportunity
Lesson 1 Explanation of the competition format and handbooks Allocation of teams Student-directed instruction: warm-up Teacher-directed instruction: overhead pass and 2vs2 (position in court and verbal communication) Lesson 2 and 3 Student-directed instruction: warm-up, overhead pass and 2vs2 (approach to the net by the setter) Lesson planned by the teacher Within-team practice and role practice (shared teacher- and student-directed monitoring) Lesson 4-6 Student-directed instruction: warm-up, overhead pass (non-linear trajectory) and 2vs2 Lesson planned by the teacher Within-team practice and role practice Lesson 7-16 Student-directed instruction: warm-up, overhead pass (non-linear trajectory) and 2vs2 Lesson planned by the teacher Within-team practice and role practice Lesson 13-16 Formal Competition: 2vs2 Student-directed instruction: warm-up, overhead pass (non-linear trajectory) and 2vs2 Lesson planned by the teacher Within-team practice and role practice Lesson 17-19 Formal Competition: 2vs2
Lesson 1 Explanation of the competition format and handbooks Allocation of teams Friendly competition: 2vs2 Lesson 2 - 4 Student-direct instruction: warm-up, 2vs2 game and overhead pass in a linear trajectory Within-team practice and role practice (shared teacher- and student-directed monitoring) Formal competition: 2vs2 with specific rules Statistics and refereeing (ball in/out and permission to serve) Lesson 5 - 8 Student-direct instruction: warm-up, overhead pass in a non-linear trajectory, verbal communication and different functions in 2vs2 Within-team practice and role practice (shared teacher- and student-directed monitoring) Formal competition: 2vs2 with specific rules to promote verbal communication Statistics and refereeing (ball in/out and permission to serve) Lesson 9 and 11 Student-direct instruction: warm-up, transition and opposition Within-team practice and role practice Formal competition: 2vs2 with specific rules to promote the approach of the setter to the net in the 2nd touch Statistics and refereeing (more than one touch for player and three for team) Lesson 12 - 14 Student-direct instruction: warm-up and forearm pass Within-team practice and role practice (student-directed monitoring) Formal competition: 2vs2 with specific rules to promote opposition Statistics and refereeing (all the rules) Lesson 15 and 21
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to plan some learning-tasks Within-team practice and role practice Lesson 25 Culminating event
Student-coaches and their teams planned content and learning tasks to the lesson Within-team practice and role practice Lesson 20 Culminating event
Student-coaches and their teams planned content and learning tasks to the lesson Within-team practice and role practice (student-directed monitoring) Formal competition: 2vs2 with larger courts Statistics and refereeing Lesson 22 Culminating event
Data collection
In order to analyse the instructional dynamics during peer-assisted tasks
and the perceptions of all the participants in regard to student-coaches’
performance, data from multiple sources were collected. These included: (a)
videotape observations of all lessons, (b) field notes, and (c) pre-lesson
interviews with the student-coaches.
To record all lesson and meetings events, a portable video camera
situated in an unobtrusive way in the corner of the gymnasium was mounted on
a tripod. In addition, the three student-coaches wore a wireless microphone.
This allowed for capturing the visible and audible actions and interactions of all
the participants of the season (Pink, 2007). In particular, the use of a
microphone gave better access to the instructional dynamics between the
student-coaches, peer-participants and the teacher.
Along with videotape observation, the first author took field notes during
each lesson in order to record his beliefs, perceptions and personal experiences
about each lesson. These field notes included all items recommended by
Lofland (2003) such as: (a) information collected during the lesson; (b)
remembered information, since not all the information could be written during
lessons; and (c) feelings and impressions of the researcher at the observation
moment. In addition, a detailed description of the setting, the students’
responses to various events taking place during the lesson, as well as the
student-coaches’ interactions with their teammates (Lofland, 2003) were also
included. Direct quotations were noted and observer comments were placed in
the margin relative to feelings, hunches and initial interpretations. Informal
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conversations with both the teacher and students were also used to seek further
reactions to the lesson and were added to the field notes.
Consistent with the procedures used by Wallhead and O’Sullivan (2007),
in order to collect information of the learning objectives of for the upcoming
lesson and to clarify student-coaches’ didactical intent for the upcoming lesson,
pre-lesson interviews were realized. Sample questions included: “Which content
will be taught in the upcoming lesson?” “What tasks will be organized during the
lesson?” “What are the main objectives of each of the practices you are going to
coach today?” “How do you think your teammates will perform during the
lesson?” and “Do you foresee any problems with any of your teammates today?
Although the order of questions varied, since they were built on the participants’
responses, efforts were made to guarantee they were present in a similar
sequence (Irwin, Hanto & Kerwin, 2004). Furthermore, prompts and follow-up
questions were used to obtain further clarification of responses (Patton, 2002).
Data analysis
Both videotapes and interviews were transcribed verbatim and labelled
(title, date, time and lesson number), in order to ensure a complete and
accurate record of the data obtained. Additionally, field notes were put into the
file for the appropriate day. These two processes insured an accurate account
of the sequence of events and quick retrieval of specific occurrences or lessons.
In order to reflect thoughts and interpretations of the researchers this
transcripts were read several times and notes were placed in the margins
(Smith & Osborn, 2003). In a next phase of analysis, the data were subject to
inductive examination through a process of thematic analysis (Patton, 2002).
The themes generated were not identified in terms of frequency of occurrence,
but mostly considering whether they captured important insights in relation to
the aims of the study. Thus, the general analysis undertaken was largely
inductive in nature. By combining a constant comparative analysis with a line-
by-line examination of common words, phrases meanings and ways of thinking
withdrawn from the multiple sources used, initial codes were identified. In the
following phase (i.e., focusing phase) units of information with similar meanings
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were grouped into more comprehensive themes, which allowed organization
and interpretation of the unstructured data (Tesch, 1990). In order to search for
commonalities and uniqueness according to the meanings by which they were
categorized, the content of these themes was then re-examined carefully
(Tesch, 1990). Representative cases of student-coaches’ instructional
performance obtained from lesson observations, interviews and field notes were
selected, and are presented in the results to highlight the research team point of
view. Nevertheless, these were not the only cases and these behaviours were
systematic observed over the study.
Results
Season 1 – providing a baseline of student-coaches instructional performance
The purpose of the first season was to provide a baseline of student-
coach instructional performance from which it was possible to design
appropriate instructional interventions in seasons two and three. Three themes
portrayed the challenges faced by the student-coaches during this first volleyball
season: (i) struggles in organizing and presenting tasks, (ii) lack of error
diagnosis and feedback, and (iii) no evidence of task modification.
Struggles in organizing and presenting tasks. The three student-coaches
appeared to experience several difficulties in terms of task presentation, during
all lessons of the season. More specifically, they failed to explain some
important issues like where students should stand, how long they should stand,
how long they should practice, what each student should be doing, and the
goals and key points of the task. As a result, throughout the season the teacher
was often forced to intervene when a new task was present. The following
excerpt of lesson observations supports this idea:
During the entire lesson, Afonso often seemed to not understand what tasks were supposed to do with his team. Every time Afonso presented a new task [acquisition or adaptation tasks] he was often forced to ask for the teacher’s help as he appeared to be unsure of exactly what the teacher expected him to do.
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(Field notes, lesson 7)
Lack of error diagnosis and feedback. Throughout the season, the three
student-coaches struggled to identify the technical and tactical elements of
volleyball content, even in the simplest tasks (e.g. acquisition tasks). As a
consequence, they were unable to identify performance errors in teammates.
Several lesson observations throughout the season showed occasions during
peer-assisted tasks where the three student-coaches should have intervened
and given feedback but failed to do so.
In this simple acquisition task, none of the members of Tiago’s team are appropriately positioning their bodies in order to send the ball where they need to in this simple acquisition task. However, Tiago did not provided feedback. (Field notes, lesson 10).
When feedback was given it had a more motivational focus (e.g., general
praise) or was related to the organizational features of the task. Moreover, when
the feedback was related to the content, it was often wrong or not congruent with
task demands. The intervention of Cláudio during lesson 13 clearly exemplifies
this difficulty:
Patrícia is not having success in sending the ball over the net with the underhand serve [n.r. simple acquisition task, in which one student is serving and the other is grabbing the ball in the other court]. While the appropriate feedback would have been to encourage her to transfer her body weight to the forward foot, Cláudio is providing feedback about hand position instead. (Field notes, lesson 13)
No evidence of task modification. Throughout the season, there was no
evidence of the student-coaches making changes to the tasks when teammates
were experiencing difficulties. These changes could include allow teammates to
move close to the net when serving, more than one touch per player, to grab the
ball instead of overhead pass, etc. The following excerpt exemplifies the
absence of task modification:
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The three teams were performing the same drill, specifically designed to practice the overhead pass in a non-linear trajectory [n.r. acquisition task]. All students were experiencing difficulties in sustaining the ball and the three student-coaches did not facilitate the task (perhaps by allowing more than one contact per player). (Field notes, lesson 17)
Season 2 – Fading instructional responsibility from the teacher to the student-
coaches
Student-coaches’ preparation. The difficulties experienced by the student-
coaches during the first season reinforced the need to provide them with
specific instructional preparation during the second season in order to provide
basic instructional skills (such as, organization of the tasks, basic feedback and
task modification). This preparation included: (i) modelling teacher’s
intervention, (ii) a pre-lesson meeting with the student coaches, and (iii) the
coaches’ corner strategy. Table 2 outlines the student-coaches’ instructional
preparation throughout the season.
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Table 2. Student-coaches’ preparation during the second season Instructional skills improved How they were developed
Content knowledge • Devolution of rules and technical
and tactical basic knowledge of the game form to be taught.
Task presentation • Goals orientation of the task to
be performed. • Organizational arrangements of
the task: space, time, task structure and students’ functions.
Feedback • Critical components of technical
and tactical skills required for each of the upcoming tasks.
• Recognition of the most common errors during the task.
Task modification • Possible task modifications when
needed: changing the dimensions of the court, the technical skill to be used, number of players per group, etc.
Less
ons
1-6
Teachers’ modelling. This was accomplished by student-coaches modelling teacher’s instructional intervention during the lesson. The teacher provided information of the task to the whole class (such as task structure and key points of the task) before student-coaches organize the tasks with their teammates. Additionally, together with the teacher student-coaches shared the monitoring of teammates’ performance during learning tasks.
Less
ons
7-20
Teacher’s pre-lesson meeting. The teacher transmit and demonstrated the content to be taught and the learning tasks to be organized on the upcoming lesson by the use of diagrams and handbooks; highlighted the key points in which student-coaches should be focused during task monitoring and exemplified possible task modifications. Coaches’ corner. Every time the teacher presented new content, a new task or a modification to the on-going task he gathered the student-coaches and provided them with the key points of the tasks and content to be taught while the rest of the students continued to participate in the task.
Providing student-coaches with basic instructional skills. During the first six
lessons of the season, the teacher modelled a number of instructional skills for
the student-coaches. First, he provided information about the task to the whole
class (such as task structure and key points) and the student-coaches only then
organized the tasks with their teammates.
The teams were practising the attack organization on a 2vs2 side-out structure. The teacher stopped all the teams and presented a new task, namely a 2vs2 within-team practice game. He also remembered the students about the rules and key points of the game. After the task presentation, teams immediately started the intended task. (Field notes, lesson 1)
In addition, the responsibility for monitoring performance during learning
tasks was shared by the teacher and the student-coaches. This served to
increase student-coaches’ awareness when they were providing feedback.
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Alexandre was not having success in the underhand serve, since he was advancing the wrong foot. Afonso did not intervened. The teacher called Alexandre and provided him a corrective feedback. In the following attempt Alexandre also did not advance the correct foot. Nevertheless, Afonso immediately provided feedback. Alexandre tried again and proper executed the serve (Field notes, lesson 1)
Pre-lesson meeting. From lessons seven onwards student-coaches were
progressively called upon to organize and present tasks to their teammates. In
order to better release the instructional responsibility from the teacher to the
student-coaches, a pre-lesson meeting with the student coaches was included.
There, the teacher informed the student-coaches about the organization of the
lesson, the key points which they should focus on during task monitoring, as
well as potential task modifications. The key learning tools used by the teacher
were activity diagrams and handbooks. This meeting was held in the
gymnasium immediately before each lesson with peer-assisted tasks and were
between 5 and 10 minutes in length. The following extract from one meeting is
typical of these used:
Teacher: “[…] You are going to organize a 2vs2 game without opposition with your teammates. This drill will count to our competition […]” Cláudio: “Do we need to count the number of times we touch the ball?” Teacher: “No… You need to count the number of times the ball crosses the net after 3 touches. If you only perform 2 touches per team it will not count but it will also not return to zero [the teacher draws a diagram showing the organization of the task].” Tiago: “But do we need to serve?” Teacher: “No… If anyone has difficulty to sustain the ball, just grab it and continue the drill.” (Teacher’s meeting with the student-coaches, lesson 11)
Coaches’ corner. During this period of the season, the teacher also began
to use the coaches’ corner strategy. Every time the teacher presented a new
content, or a task modification to the on-going task, he gathered the student-
coaches and provided them with the key points of the tasks and content to be
taught while the rest of the students continued to practice. Moreover, the
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student-coaches had the opportunity to ask the teacher any questions they
might have related to the task. The following excerpt from one coaches’ corner
observation exemplifies this strategy:
All students were practising in their teams. Before the teacher began the competition, he wanted to remind student-coaches the key points and rules of the game. He therefore called the student-coaches to a corner of the gymnasium. Teacher: “Next, game 2vs2 with opposition. During this game, do not forget to remind your teammates about the rules of the game. When do you rotate in the serve?” Tiago: “When we win the serve.” Afonso: “But, we only serve a maximum of two serves and then we rotate?” Teacher: “Yes. More rules: one touch per players and three per team. Do not forget to communicate and approach the net. But now, you need to inform your teammates to execute the forearm pass when the trajectory is low and overhead pass when the trajectory is high. Ok? Let’s go!” (Field notes and video observation, lesson 9)
The evolution of student-coaches instructional performance
Concerning to the outcome of the pre-lesson meetings, the student-
coaches showed improved understanding of the structure of each task of the
lesson. Consequently, they started to organize simple tasks (e.g., acquisition
tasks) with their teammates by communicating the general organization of the
task, general goals (i.e. technical and basic tactical skills) and teammates’
functions within the task. An extract from the pre-lesson interview and
subsequent video observation provides a representative example of Afonso’s
improved understanding of task structure and the presentation of it to his
teammates:
Researcher: “What will you do with your teammates during today’s lesson?” Afonso: “[…] We will have a 2vs2 situation without opposition [...] I will pay attention to the 3 touches per team, to the verbal communication and to the movement to the net before the set”. (Afonso, pre-lesson interview, lesson 9)
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Immediately after the teacher began the lesson, Afonso gathered his teammates and presented the task to them. Afonso: “We are going to play a 2vs2 game without opposition. Understood? So… Lets’ begin! Hurry up!” (Field notes and video-observation, lesson 9)
The pre-lesson meeting appeared to help student-coaches in developing
more knowledge regarding the technical and basic tactical skills (e.g.,
communicate and approach the net to set) of the content being taught. The
following excerpt show that Afonso knew exactly the goals of the tasks and the
key points in which he would be focused on:
Researcher: “[…] What are the goals and tasks for today’s lesson?” Afonso: “[…] One player is serving and other two receiving. After the serve they need to communicate and the non-receiver must approach the net to set.” Researcher: “As a coach, what will you be focused on?” Afonso: “I want them to execute three touches, to communicate when they will receive the ball and approach the net to set.” (Afonso, pre-lesson interview, lesson 9)
The student-coaches were also seen to improve their ability to diagnose
errors and provide appropriate feedback regarding those technical and basic
tactical skills during simple tasks (i.e. acquisition tasks). This argument is
supported by the observation of increased cases where they were able to
provide congruent feedback:
In this acquisition task, students only had to communicate and touch the ball after an easy serve. When Diana did not play the ball in her responsibility zone, her coach stopped the play and said: “Diana all this space of the court is yours… This entire rectangle of the court is your responsibility. You only move to the net to set if your teammate is about to receive the ball.” (Field notes and video observation, lesson 12)
Another example of the student-coaches’ instructional improvement was
the introduction of task modifications, but only by representation (i.e. when
teammates were having difficulties with technical issues or the actual rules of
the small-sided game) and only on acquisition tasks.
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Ana was having difficulties in sustain the ball in a non-linear trajectory. Tiago allowed her to execute more than two touches if necessary until her body was placed to the target. (Field notes, lesson 11)
The last indicator that showed the student-coaches’ instructional improvements
was the release of instructional responsibility from the teacher to the student-
coaches. Taking into account student-coaches improvements on task
presentation, feedback and task modification the teacher did only intervene: (i)
in response to critical incidents (e.g., sporadic disciplinary incidents); (ii) lack or
inadequate feedback; and (iii) when he wanted to introduce new or more
complex content).
The teacher spent the majority of the lesson observing and praising students’ effort. Teacher’s intervention was only needed to organize the coaches’ corners (when he needed to change the task), answering student-coaches doubts regarding the organization of the competition matches (time and sub teams) and providing feedback when student-coaches were not able to diagnose some complex content on game-like tasks. (Field notes, lesson 18)
Remaining instructional difficulties
Despite the several improvements observed, the student-coaches still
displayed some instructional limitations throughout the season. In particular,
they often failed to specify the critical components of the tasks (i.e., key aspects
related to the goals of the task) and there were almost no examples of the use
of demonstration. The following example highlighted the lack of these two
aspects during task presentation.
In order to develop verbal communication in a structuring task, despite Tiago has given information to his teammates regarding the organization of the task, they seemed confused with his presentation. He did not use demonstration and did not specify the critical components of the task. Indeed, during the majority of the time allocated for this task, teammates were always with doubts regarding task structure. (Field notes, lesson 17)
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Beyond that, they only provided feedback on acquisition tasks and
regarding basic tactical skills. In more complex tasks (such as structuring and
adaptation tasks) or more complex tactical content (for instance, opposition), the
feedback for the most part was not related to the goal of the task.
The goal of this game-like task (2vs2 game without opposition) was to sustain the ball, with the first touch directed to the net and a movement from the non-receiving player to the net before the set. However, Afonso continued to reinforce the need of using three contacts on the ball. (Field notes, lesson 11)
Further, in all type of tasks this feedback followed a prescriptive and
evaluative profile, with questioning rarely being used. The following two
examples from Afonso’s performance during lesson 11 provide support for this
contention:
Afonso: “Alexandre you have to set the ball higher… Set higher! Set higher! […] Stop Alexandre. I will toss the ball to you and you will set the ball higher… Higher! Higher!” (Afonso, video observation, lesson 11)
Student-coaches also failed to modify the task when it was necessary to
focused teammates’ attention on a key aspect of technical or tactical content
(i.e., modification by exaggeration) even in simple acquisition tasks:
During one 2vs2 side-out drill, the players were having success in sustaining the ball but without accomplishing the goal of the drill (approach to the net). Cláudio could focus students’ attention on this tactical skill by giving extra points every time they approached the net. (Field notes, lesson 17)
Season 3 – Complete transfer of the instructional responsibility to the student-
coaches
Student-coaches’ preparation
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In order to transfer all in-class responsibility from the teacher to the
student-coaches, it was necessary to give them instructional preparation related
to: (i) the use of demonstration and the definition of the critical components of
the task during task presentation; (ii) the provision of feedback on more complex
learning tasks (i.e., structuring and adaptation tasks) and content (more
complex tactical skills, such as opposition); (iii) the use of questioning; and (iv)
the use of task modification by representation.
Therefore, the teacher initiated an extracurricular meeting once a week.
These meetings, which lasted between 28 and 70 minutes, took place in a
classroom outside of the gymnasium and were held in the begging of the week,
before lessons with peer-assisted tasks.
There, the teacher showed student-coaches sample video clips of their
teaching in order to make them analyse all the learning tasks of the previous
lesson, and then debate. In the first phase of the student-coaches’ preparation
(until lesson 10), the teacher focused student-coaches attention on the
aforementioned aspects of their instruction. From the middle of the season the
teacher provided questions, hints and cues based on videos, in order to
increase the student-coaches’ ability to solve problems they could face during
peer-assisted tasks.
Planning sheets were the other instructional strategy implemented by the
teacher during these extracurricular meetings, which could then be used by the
student-coaches during the lesson. During the early lessons of the season,
these planning sheets outlined the task structure, content to be taught, key
points, common errors, as well as examples of possible feedback and task
modification. Later, its elaboration elicited the debate between the three student-
coaches and the teacher regarding what student coaches thought it was
necessary to practise with their teams, as at this time the student-coaches took
full responsibility for practise planning. Full details of these extracurricular
meetings are provided in Table 3.
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Table 3. Student-coaches’ preparation during the third season Le
sson
2-1
0
Mee
tings
1-4
In the first part of the meeting, the teacher provided feedback to coaches through the use of videos from previous lessons. The focus was on the students’ instructional skill performance during the learning tasks:
• Improving student-coaches’ task presentation: • How to sequence the presentation: understand the task goals after task organization. • Using a clear and objective language: use demonstration, avoid digressions and ambiguous phrases, detailed and redundant information. • Provide critical components or/and criteria of success to each of the task for the upcoming lesson. • Improve feedback in tasks with more tactical demands. • The use of questioning. • Presented practice situations in which the feedback was insufficient, and encouraged the student-coaches to modify the task.
In the second part, the teacher used the planning sheets to explain the content and learning tasks used in the following lessons. Sometimes he also demonstrated the task or the content. Discussion with the teacher guidance of the critical components and most frequent errors of each of the tasks planned for the upcoming lesson.
Less
on 1
1-22
Mee
tings
5-7
In the first part, the teacher presented videos of SC’s instructional performance and asked students to reflect about their performance. In the second part, the teacher presented videos of each team playing, and asked student coaches to then describe how they would structure their future practice sessions. This was accomplished by the elaboration of planning sheets.
Student-coaches’ instructional performance
The interventions introduced during this third season seemed particularly
effective in improving student-coaches’ task presentation. In particular, the three
student-coaches began to use demonstration, and also provided the critical
components for successful completion of the tasks. The following excerpts
exemplify how task presentation was developed during the protocol of this third
season, and the subsequent improvement of student-coaches during the lesson:
The teacher exposed some key issues of task presentation: place the teammates in their places, explain and demonstrate the task, define the key points of the task and check teammates’ understanding. (Field notes, extracurricular meeting, before lesson 5) As it happened until this lesson, the student-coaches were always using their planning sheets. For instance, before the presentation of the tasks of this lesson, the three student-coaches consulted their planning sheets to check the structure and the key points of the task. (Field notes, lesson 12)
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In this butterfly [n.r. complex adaptation drill with opposition] Tiago has provided a detailed explanation of the tasks to his teammates, including demonstration and the critical components of the task that were developed during the last meeting. Tiago: “Ok. In the next drill I want you to do two things: communicate with your teammate by saying “mine” and move to the net if your teammate says ‘mine’. Don’t worry we can do this. Our field is this. Rúben stays here, Cristiana here and Isabel there with ball. So, Isabel serves, Cristiana receives and says ‘mine’, Rúben moves to the net, sets the ball and Cristiana execute the attack to the other side and tries to score. Then, you change places: Pedro serves, Tatiana goes behind Pedro and Isabel comes to receive. Let’s do one time so everyone can understand [and demonstrates the drill].” (Field notes and video observation, lesson 9).
Concerning the provision of feedback, all three student-coaches showed to
be able to diagnose errors and to provide proper feedback focused on the
critical components of the task in structuring and adaptation tasks, and in the
presence of more complex tactical content (such as, opposition):
The extracurricular meeting previous to this lesson was focused on student-coaches’ difficulties on error diagnosis and feedback. For instance, during this adaptation tasks that is focused on opposition, the student-coaches were helping their teammates to look to the other side after sending the ball, in order to put the ball in the vulnerable zone of the opposite team. (Field notes, lesson 10) Afonso: “These meetings are helping us in our role as coaches. Unlike the case of the previous season, in this season you [n.r. the teacher] explain us the lesson plan, what we have done right or wrong, etc. […] I feel more competent as a coach.” (Video observation, extracurricular meeting, before lesson 10)
During the extracurricular meetings Afonso and Tiago raised the possibility
that using questioning would encourage their teammates to think about their
own difficulties.
Two examples of student coaches’ intervention were presented to them in this extracurricular meeting: prescriptive and questioning feedback, respectively. Then, student-coaches were asked about the differences between the two interactions. Teacher: “What is the difference between these two?”
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Tiago: “In the first video [n.r. prescriptive feedback] I explained to them what was supposed to do. In the second [n.r. video with questioning] I tried to ask my teammates so they could find their errors by themselves.” Teacher “So, our feedback can also be like…” Afonso: “… a question”. Teacher: “Exactly. What do you think is the best way to communicate with your teammates?” Tiago: “Questioning. In this way, they are obligated to think.” (Field notes and video observation, extracurricular meeting before lesson 15)
The following example shows how Tiago had progressed from a
prescriptive feedback during earlier lessons (lesson 6) to the use of questioning
in later lessons of the season (lesson 16).
Tiago to Alexandre: “Set the ball to your teammate. Do not send the ball here. Send there! […] Like I sent to you just now. […] But don’t set so high. […] Do not move from the targets […] Higher than that […] Do not set the ball immediately. Receive, wait, place the body and set. […] What you have to do is: receive, place the body and only then set!” (Video observation, lesson 6) Tiago: “Alexandre, where did the ball go? Where did the ball touch the floor? In which zone? Alexandre: “Here? [n.r. the zone of his responsibility]” Tiago: “Correct! Here. Who has to play this ball?” Alexandre: “Me.” Tiago: “Why?” Alexandre: “Because this is my responsibility zone.” Tiago: “Are you understanding now?” Alexandre: “Yes” Tiago: “Good! Lets’ try again.” (Video observation, lesson 16)
Throughout the season the three student-coaches also showed the ability
to modify tasks by representation (number of contacts per player, technical skill
used, number of players, task criteria, etc.) not only in acquisition tasks as it
happened in the previous season, but also on structuring and adaptation tasks.
Further, Afonso and Tiago were able to modify the tasks to focus students’
attention on a critical task component (modification by exaggeration).
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The teacher presented to the student-coaches a video in which Tiago was giving feedback to Alexandre but he continued to not having success in the task. Teacher: “What can we do in these situations? Sometimes, if our feedback is not enough we can modify the task.” (Video observation, extracurricular meeting before lesson 8) Tiago perceived that his teammates would not accomplish two critical components of the task (verbal communication and approach the net before the set). Therefore, he added points every time some teammate accomplished these two components. (Field notes, lesson 15)
Given these student-coaches’ instructional improvements, there was a
complete transfer of the instructional responsibility from the teacher to the
student-coaches. That is, the student-coaches planned the lesson, presented
the tasks, provide proper feedback and task modification.
It’s almost like the teacher was not needed during this lesson. He even had the time to leave the lesson for a while and students kept engaged on the learning tasks. During this lesson I only saw the teacher observing, praising students’ effort, informing student-coaches the times of the lesson (initiate/ending of the lesson, change tasks, initiate competition, etc.) and registering teams’ winnings in the end of the lesson. (Field notes, lesson 16)
Discussion
The purpose of this study was to identify the difficulties encountered by
student-coaches during peer-assisted tasks and then evaluate the interventions
that were put in place to address those difficulties, across two Sport Education
seasons. The results highlighted the efficacy of the protocols implemented
during the second and third units in improving student-coaches’ instructional
skills. Therefore, this study suggests the importance of specific formats for
student-coaches’ instructional preparation in order to fill the gap already
identified in Sport Education research related to the potential lack of student-
coaches’ instructional skills (e.g., Araújo et al., 2014; Hastie, 2000; Hastie et al.,
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2011; Wallhead & O’Sullivan, 2005, 2007). Notwithstanding, the instructional
preparation of student-coaches needed to follow a gradual release of
instructional responsibility (Person & Gallagher, 1983) from the teacher to them.
Student-coaches progressed from situations in which the teacher took the
majority of the instructional responsibility (for instance, beginning of the first
protocol), to situations in which they assumed all or nearly all the instructional
responsibility (during the third season). During this gradual release of
instructional responsibility, the strategies applied to aid improvements in
student-coaches’ instruction were in some ways quite distinctive.
In particular, given the student-coaches’ instructional difficulties
encountered during the first season, it was necessary to provide them with
sufficient instrucional skills during the second season. The teachers’ modelling,
in which he offered student-coaches “behaviour for imitation” (Tharp &
Gallimore, 1998, p. 47), seemed to be important to provide them a visual model
of what was expected to do concerning to present and monitoring the learning
tasks. Additionally, this modelling strategy also allowed the direct maintenance
(Brophy, 1999) of the content to be taught during the lesson. That is, given all
student-coaches’ instructional difficulties, the only way to do not underestimate
students’ learning within the lesson was through a close intervention of the
teacher. The pre-lesson meeting with the student-coaches allowed the teacher
to delivered the knowledge regarding the tasks to be organized in the upcoming
lesson. Thus, the student-coaches started to be aware of the organization of the
tasks and, consequently, started to organize the tasks with their teammates.
Furthermore, during these meetings the teacher also had time to explain the
technical and tactical skills (namely, critical components, most common errors,
etc.) that would be taught during the lesson. The implementation of the
coaches’ corner allowed the teacher to guide student-coaches’ instructional
performance during the lesson, without provide information to the all class. This
strategy allowed the teacher to check if student-coaches were making some
major error (for instance, wrong organization of the task, lack of feedback, etc.).
If so, the teacher gathered the student-coaches and provide them feedback
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what they were doing. This endorsed the alignment of student learning with
intended teacher learning goals.
Despite these improvements, student-coaches still showed some
instructional difficulties. Therefore, during the third season an extracurricular
meeting was implemented during which the teachers’ and students’ roles
throughout the season were quite distinctive. Particularly, in the first phase of
this preparation, it was needed to provide student-coaches the necessary
instructional skills related to their remaining difficulties. The use of video
watching reduced the emphasis on student-coaches’ memory and allowed a
greater range of instructional behaviours to be analysed, a point already
highlighted by Carson (2008). In addition, it also allowed student-coaches a
greater depth and detailed analysis of their intervention (Byra, 1997). This
allowed student-coaches to improve their remaining instructional difficulties and
to go even further with their preparation, by the inclusion of questioning, an
important pedagogical strategy within constructivist and student-centred
approaches such as Sport Education (Chambers & Vickers, 2006; Dyson et al,
2004). As the results showed, the observation and further debate of the videos
presented by the teacher allowed student-coaches to better understand the
importance of questioning and started to use it during the following lessons.
During this phase the planning sheets allow the student-coaches to better
understand the lesson during the teacher’s explanation. This may be a result of
the potential role of planning sheets in overcoming the communication
inadequacies between the teacher and the student-coaches (King, 2002).
The second phase of the protocol for this third season allowed student-
coaches to be autonomous and to be creative problem solvers, to reflect their
own practices, and to interact with peers. These aspects were already identified
as important in constructivist (Azzarito & Ennis, 2003) and student-centred
environments, which is the case of Sport Education (Dyson et al., 2004). Within
the extracurricular meetings, the teacher moved from a “transmitter” and
directive role to a facilitator role. The teacher facilitated student construction of
knowledge by providing students the opportunity to discuss and debate
knowledge with peers. Through the use of videos from previous lessons and
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planning sheets, he recalled students’ prior knowledge by asking questions,
proving hints and allocated more time during the meetings for student-coaches
suggestions. This interaction among student-coaches also engaged them in an
autonomous and higher thinking learning process, and promoted sharing
understanding among all the student-coaches and, consequently, teammates
(Azzarito & Ennis, 2003). In fact, the student-coaches’ ability to solve problems
they encountered throughout the lesson was shown in the end of the season.
For instance, sometimes when students were not achieving the critical
components of the tasks, student-coaches were seen to modify a tasks
previously planned by the teacher, in order to focus teammates’ attention on a
specific tactical skill.
The present study also reinforces the previous accounts for student-
coaches’ instructional preparation (Araújo et al., 2014; Hastie et al. 2011;
Siedentop, 1995; Wallhead & O’Sullivan, 2007). Merely placing students in a
Sport Education seasons does not guarantee an actual student-centred
approach. Allocating students within teams and give them the opportunity to
apparently led their teammates with unprepared intervention jeopardizes the
pedagogical impact of Sport Education. It is necessary to provide student-
coaches’ sufficient instructional skills through the implementation, analysis, and
evaluation of protocols for the instructional preparation of those students. Only
by doing so it will be possible to achieve the authenticity and the affective and
social goals of Sport Education so valued by teachers and students, without
underestimate the students’ learning. That is, with proper preparation, student-
coaches can better organize learning tasks and motorize teammates’
performance, which might increase students’ learning
Notwithstanding, this study also showed that these protocols should take
into account the individual differences between student-coaches. That is, all the
three student-coaches achieve all aspects of their instructional preparation of
the second protocol. Nevertheless, when student-coaches were asked to use
more implicit and less directive pedagogical strategies (such as the case of
questioning and task modification by representation), one of them did not reach
this aspects. This also enhanced the need to properly choose the student-
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coaches. The students’ availability and willing to improve, as well as their status
(Brock et al., 2009), should be take into account, and not only their skill-level.
Conclusions
The present study intended to respond to the calls for the analysis of
student-coaches’ instructional performance during peer-assisted tasks of Sport
Education, and the impact of specific protocols for the instrucional preparation
of these students. Results showed the efficacy of these protocols on student-
coaches’ instructional improvements, namely in their ability to organize the
tasks to their teammates, diagnose errors and provide feedback, as well as
modify the task by representation and exaggeration. Nevertheless, this study
also showed that this preparation does not occur immediately, and different
strategies should be applied take into account the phase of student-coaches’
instructional preparation. In the beginning of the preparation it was important to
convoyed student-coaches basic instructional skills and in the third season the
preparation sought student-coaches’ ability to autonomously solve the problems
they might face during practice.
In addition, although this study has provided insights into the instructional
system operating within the working groups of the model, much more research
is needed related to the social system. Despite student-coaches have the
opportunity to choose the content and learning tasks they would structure in the
following lesson, the contribution of all their teammates was not ensured. In this
way, future research is encouraged to examine students’ engagement and the
dynamics operating within the teams (Araújo et al., 2014; Pereira et al., 2015).
Finally, future research should also analyse the impact of the instructional
evolution of the student-coaches on students’ learning.
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123
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Empirical Study 3
_________________________________________________
The long-term development of volleyball competence using Sport
Education and Step-Game-Approach models
Rui Araújo 1, Isabel Mesquita 1, Peter A. Hastie 2, Keith R. Lohse 2, and
Cristiana Pereira 1 1 Centre of Research, Education, Innovation and Intervention in Sport, CIFI2D,
Faculty of Sport, University of Porto, Porto, Portugal. 2 Kinesiology, Auburn University, Auburn, USA.
Submitted: Physical Education and Sport Pedagogy
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Abstract
Background: Research on Sport Education has highlighted evidence of the
achievement of a number of goals of the model, particularly those relating to
enthusiastic participation and literacy. Nevertheless, it also has uncovered
some key factors that warrant further investigation. Notable among these are
longitudinal data collection extending beyond a single Sport Education season,
the analysis of the nature of the learning tasks and content taught during non-
invasions games seasons; and more quantitative research concerning the
diferatiating effect of sex and skill-level on students’ learning.
Purpose: Based on these areas of need, the purpose of the present study was
therefore to analyse students’ game play performance improvements across
three hybrid Sport Education-Step-Game-Approach seasons, taking into
account students’ sex and skill-level.
Participants and setting: The participants were eighteen students (8 girls and 10
boys; aged between 11 and 13) from one physical education class in a school in
northern Portugal. This study followed a longitudinal design that included three
volleyball seasons over three school years (from 7th to 9th grade). The three
Sport-Education-SGA seasons ranged between 20 to 25 volleyball lessons, and
followed all the key organization features of Sport Education (i.e. seasons,
persisting teams, formal competition, record keeping, festivity and a culminating
event), while the learning tasks followed the didactical framework of the SGA.
Data collection and analysis: Students’ play performance at the entry (PreT)
and exit (PosT) points of each season was evaluated using the Game
Performance Assessment Instrument during 2vs2 games. A series of
hierarchical linear models were then constructed in order to quantify impact of
sex, skill and time on the students' changes in Game Performance index over
the three seasons.
Findings and conclusions: The best predictive model showed a nonlinear effect
of time on student performance (controlling for skill), such that all participants
improved levels improved from their first experience with both models at the 7th
grade through to the end of the 9th grade season. There was also a statistically
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significant effect of interaction between skill and time in such that the rate of
improvement for the lower skilled players was steeper than the rate of
improvement for the higher skilled players. The extension of the combined used
of and the SGA models beyond a single season experience seemed to make
positive contributions to students’ improvements throughout the three years. In
particular, it could be assumed that students became progressively familiarized
with these organizational and instructional issues throughout the three seasons,
spent less time on these tasks and, consequently, spent more time on learning
tasks. Also, by the of the SGA students’ skill practice were presented mostly as
game-like situations, notably through the use of structuring and adaptation
tasks, and according to the problems disclosed by the game play within a step-
by-step approach. Future research is encouraged to use longitudinal qualitative
designs to examine students’ engagement and the dynamics operating within
hybrid models.
Keywords
GPAI; longitudinal design; physical education; sex; skill-level
Introduction
In his treatise on model-based practice within physical education, (Casey
2014) recognizes the tension that exists between model-makers and curriculum
praxis. While acknowledging that changing practice is difficult for teachers, he
does suggest that model-based practice has the potential to be more a great
white hope than a white elephant. What Casey calls for, however, is research
that focuses beyond the initial use of a model to a more longitudinal
examination of impact. With specific focus on Sport Education (perhaps the
most studied of the instructional models listed by Metzler (2011), there has
been a similar call for the need for gathering longitudinal data that extend
beyond a single season (Araújo, Mesquita, and Hastie 2014; Hastie, Martinez
de Ojeda, and Calderón 2011; Wallhead and O'Sullivan 2005). The main
stimulus in this case has been research that recognizes the potential of Sport
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Education for developing students’ skill and tactical awareness (e.g. Hastie
1998a; Hastie et al. 2013; Hastie, Sinelnikov, and Guarino 2009; Pritchard et al.
2008; Mesquita, Farias, and Hastie 2012; Farias, Mesquita, and Hastie 2015),
but in all cases has explored but a single season.
The call for longitudinal studies is grounded in the notion of ‘time’ as a
critical element in Sport Education. Given the complexity of the organization of
activities within Sport Education (e.g., distributing roles, establishing formal
competition, allocating students to teams, among others), and the instructional
shift from a teacher-directed to a student-driven model, a number of authors
have reinforced the critical nature of longer rather than shorter seasons (see
Brunton 2003; Hastie 1998a, 1998b; Hastie et al. 2013; Mesquita, Farias, and
Hastie 2012; Pritchard et al. 2008). By consequence, a study of Sport Education
implementation beyond a single season might allow the examination of the
critical elements which have the most significant impact on the teaching and
learning process (Araújo, Mesquita and Hastie 2014). In addition, an application
of Sport Education over repeated seasons (where team composition and the
sport played remain constant) might promote positive aspects of the social and
instructional systems within working groups and consequently improve student
learning (Wallhead and O’Sullivan 2005). The goal of the present study then,
was to respond to calls for more longitudinal data collection protocols and
analyse students’ achievement of volleyball skill over multiple Sport Education
seasons.
Another need area identified by Sport Education researcher has been the
nature of the learning tasks and content taught during seasons (Araújo,
Mesquita, and Hastie 2014). Specifically, Sport Education is an ‘outward-
focused’ model (Hastie and Curtner-Smith 2006, 23), in which the primary
concern is the promotion of a more democratic and inclusive pedagogy, in
particular the pedagogical environment as teacher and students’ roles
(Siedentop, Hastie, and Van der Mars 2011). To provide a more inward-focus
on the didactics of instruction, Araújo, Mesquita, and Hastie (2014), have called
for alliances of Sport Education and other instructional models and research
designs that allow for the specific examination of the content and learning tasks
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taught during the season. Nonetheless, despite research has focused on hybrid
model use in teaching invasion games (e.g., Teaching Game for Understanding:
Hastie and Curtner-Smith, 2006; Invasion Games Competence Model:
Mesquita, Farias, and Hastie 2012; Tactical Games: Pritchard et al., 2014),
there is an absence of hybrid model use within non-invasion games (Araújo,
Mesquita, and Hastie 2014; Harvey and Jarret 2014).
The Step-Game-Approach (SGA: Mesquita et al., 2005) may have the
potential to fill this gap through the provision of an appropriate framework for
development of game play ability in non-invasion games such as volleyball,
tennis or badminton. In this model, three types of instructional tasks are
implemmented. Namely, adaptation tasks (in which the goal, action structure
and basic tactical features are identical to the full volleyball game), structuring
tasks (comprehend the same tactical and technical skills of the game but
without opposition) and acquisition tasks (focused on the development of a
specific skill) (Mesquita et al. 2015; Pereira et al. 2011). Moreover, students are
presented with progressive (step-by-step) game problems that challenge their
capacity for understanding and current performance profiles. In this way, a
hybrid Sport Education - SGA unit may have the potential to provide all the
affective and social goals of Sport Education, without underestimated the
content to be taught during the season.
In addtion to the afforementioned gaps, Sport Education research has also
identified differential effects of sex and skill-level on students’ achievement
(Araújo, Mesquita, and Hastie 2014). While some studies have revealed
superior learning opportunities for boys and higher skill-level students (e.g.
Alexander and Luckman 2001; Brock, Rovegno, and Oliver 2009; Hastie 1998a,
1998b; Hastie, Sinelnikov, and Guarino 2009; Hastie and Sinelnikov 2006),
others have shown advantages for girls and lower skill-level students (Carlson
and Hastie 1997; Mesquita, Farias, and Hastie 2012). Nonetheless, all of these
studies are limited to a single unit experience and only one study has
considered the application of hybrid models (Mesquita, Farias, and Hastie
2012).
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The limitations of previous Sport Education research related with both unit
design and accounting for sex and skill-level contributed to the purpose of the
present study. More specifically, this study sought to analyse students’ game
play performance improvements across three hybrid Sport Education-Step-
Game-Approach seasons, taking into account students’ sex and skill-level.
Methods
Participants
The participants in this study were 18 students (8 girls and 10 boys) aged
between 11 and 13 (M = 11.8) from one physical education class in a school in
northern Portugal. The school board approved the study and participants were
informed of the aims of the study and confidentiality of data was assured. The
Ethics Committee of the researchers’ university approved the present study.
Design of the Study
The present study followed a longitudinal design that included three hybrid
Sport Education-Step-Game-Approach seasons over three years. The study
began when the students were in the 7th grade and ended during their 9th grade.
The students had no previous experience with either of the models. Despite
some minor changes and withdrawals, the students remained in the same class
throughout the entire study. Given the Portuguese PE curriculum allowed for
teaching only one volleyball unit per school year (7th, 8th and 9th) the three
seasons were separated by approximately 12 months. In the time between the
three seasons, none of the physical education lessons were taught using Sport
Education or SGA models.
The Sport Education-SGA Unit
The three Sport-Education-SGA seasons ranged between 20 to 25
volleyball lessons, with three 45 minutes lessons being scheduled per week.
Each season followed all the key organization features of Sport Education (i.e.
seasons, persisting teams, formal competition, record keeping, festivity and a
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culminating event), while the learning tasks followed the didactical framework of
the SGA. Table 1 provides a complete outline of the season plans for each of
the three seasons.
Table 1. Unit plans for the three Sport Education-SGA seasons First unit Second unit Third unit
Lesson 1 and 2 Explanation of the model and competition format Allocation of teams and individual roles Teacher-directed instruction: overhead pass, 1vs1 Within-team practice Lesson 3 - 6 Teacher-directed instruction: overhead pass, 1vs1 (displacement and position in court) Within-team practice Lesson 7 - 10 Student-directed instruction: warm-up, overhead pass and 1vs1 (opposition) Lesson planned by the teacher Within-team practice and role practice (shared teacher- and student-directed monitoring) Lesson 11- 16 Student-directed instruction: warm-up, underhand serve and 1vs1 (opposition) Lesson planned by the teacher and students had the opportunity to plan some learning-tasks Within-team practice and role practice Formal competition: 1vs1 Lesson 17-24 Formal Competition: 1vs1 and 2vs2 Student-directed instruction: warm-up, 1vs1, and 2vs2
Lesson 1 Explanation of the competition format and handbooks Allocation of teams Student-directed instruction: warm-up Teacher-directed instruction: overhead pass and 2vs2 (position in court and verbal communication) Lesson 2 and 3 Student-directed instruction: warm-up, overhead pass and 2vs2 (approach to the net by the setter) Lesson planned by the teacher Within-team practice and role practice (shared teacher- and student-directed monitoring) Lesson 4-6 Student-directed instruction: warm-up, overhead pass (non-linear trajectory) and 2vs2 Lesson planned by the teacher Within-team practice and role practice Lesson 7-16 Student-directed instruction: warm-up, overhead pass (non-linear trajectory) and 2vs2 Lesson planned by the teacher Within-team practice and role practice Lesson 13-16 Formal Competition: 2vs2 Student-directed instruction: warm-up, overhead pass (non-linear trajectory) and
Lesson 1 Explanation of the competition format and handbooks Allocation of teams Friendly competition: 2vs2 Lesson 2 - 4 Student-direct instruction: warm-up, 2vs2 game and overhead pass in a linear trajectory Within-team practice and role practice (shared teacher- and student-directed monitoring) Formal competition: 2vs2 with specific rules Statistics and refereeing (ball in/out and permission to serve) Lesson 5 - 8 Student-direct instruction: warm-up, overhead pass in a non-linear trajectory, verbal communication and different functions in 2vs2 Within-team practice and role practice (shared teacher- and student-directed monitoring) Formal competition: 2vs2 with specific rules to promote verbal communication Statistics and refereeing (ball in/out and permission to serve) Lesson 9 and 11 Student-direct instruction: warm-up, transition and opposition Within-team practice and role practice Formal competition: 2vs2 with specific rules to promote the approach of the setter to the net in the 2nd touch Statistics and refereeing (more than one touch for player and three for team) Lesson 12 - 14 Student-direct instruction: warm-up and forearm pass
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Lesson planned by the teacher with students having the opportunity to plan some learning-tasks Within-team practice and role practice Lesson 25 Culminating event
2vs2 Lesson planned by the teacher Within-team practice and role practice Lesson 17-19 Formal Competition: 2vs2 Student-coaches and their teams planned content and learning tasks to the lesson Within-team practice and role practice Lesson 20 Culminating event
Within-team practice and role practice (student-directed monitoring) Formal competition: 2vs2 with specific rules to promote opposition Statistics and refereeing (all the rules) Lesson 15 and 21 Student-coaches and their teams planned content and learning tasks to the lesson Within-team practice and role practice (student-directed monitoring) Formal competition: 2vs2 with larger courts Statistics and refereeing Lesson 22 Culminating event
The Sport Education Processes. All the seasons were divided into phases
of skill and tactical practice, non-consequential practice matches, and formal
competition. In the earlier lessons of each season, the procedures embedded in
Sport Education were addressed and students were allocated to mixed-ability
teams based on a pre-season assessment test). In the following phase of the
season students participated on within-team practices, learning about officiating
responsibilities, scrimmage game play, and formal competition. During the
second and third units, the concept of ‘graded competition’ (Siedentop, Hastie,
and Van der Mars 2011) was implemented. That is, during competitive matches,
each team created sub-teams who competed against other students of similar
skill-levels. In the last lessons of each season a culminating event was
organized. During the three seasons students were allocated in different within-
team (e.g., equipment manager and student-coach) and within-match roles
(e.g., student-coaches, equipment managers, referees and statisticians on a
rotating basis). The student-coach was chosen by the teacher and the
researchers based on their ability to perform that role and to prevent potential
imbalanced power relations between students based on status and sex, the
latter feature being found important in research on Sport Education (Brock,
Rovegno, and Oliver 2009; Hastie 1998b). Additionally, the formal competition
schedule ensured the equitable participation of all students (e.g. same playing
time for all students) and students were regularly held formally accountable for
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their fair-play behaviours during competition. Throughout the study (second and
third seasons), student-coaches were progressively called to take upon more
responsibility for instruction. Between lessons two and five of the first season,
student-coaches were only responsible for warm-up tasks. From lessons seven
and ten student-coaches began to lead instruction during peer-assisted tasks,
and eleventh onwards they started to choose the learning tasks deemed
required for their teams’ performance improvements. During the second unit
student-coaches started to be responsible for almost all the peer-assisted tasks
sooner in the season, and in the third unit all lessons were student-driven.
The SGA approach. The 2vs2 game was considered the most suitable for
the diagnosis of the level of the participants (Mesquita et al. 2005). On the one
hand, it allows the identification of basic performance levels when players are
unable to minimally sustain the ball (step 1). On the other hand, it also identifies
performance levels above that range from the minimum capacity to support the
ball (step 2) to the capacity of organizing game actions (early 3rd step), or even
the ability to differentiate the most suitable solutions for the game situation
(early 4th step). Based on the students’ performance on a 2vs2 assessment test
conducted prior to each unit, the first step was applied (Mesquita et al. 2005).
The main goal of this step was to understand the logic of the simplest game
form (1vs1 game), namely two main tactical skills were taught in this step:
intervention (place the body where the ball is) and opposition (play the ball to
the vulnerable place of the opponent court, both in the serve and in the attack).
In addition, two technical skills were taught, namely the overhead pass and the
underhand serve. Nevertheless, given the simplicity of the 1vs1 game, the 2vs2
was also included in the end of this season without requiring tactical demands
related with the teammate or the opposite team. The second season was
dedicated to the second step of SGA. More specifically, the main goal was to
achieve the ability to cooperate with a partner while challenging opponents,
which requires that players take different roles in the attacking phase. In this
way, while the 2vs2 game was again taught during this second season, three
specific tactical skills were introduced. These included (i) watching the
opponents’ placement; (ii) developing verbal communication; and (iii) assigning
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accountability zones. Additionally, the forearm pass was also taught, since the
students needed other technical skills to play the ball with lower and faster
trajectories. The assessment test prior to the third season revealed to distinct
skill levels within the class. Some students were ready to learn the third step of
the SGA, but other students were still having difficulties with the 2vs2 game.
Variations to the learning tasks and game rules were implemented during this
third season in order to adjust the difficulty of learning tasks across different
skill-levels. In addition, while graded competition was maintained in terms of
similarly skilled opponents, the games themselves also differed in terms of
rules, court dimensions and scoring. As an example, higher skill-level students
played the 2vs2 on bigger courts and without any adaptation to the regulations
(more touches per player, rebound, etc.). On the other hand, lower skill-level
students not only played on smaller courts but also were allowed more than one
touch per player or three per team.
Instructional and Treatment Validity
Itemizing Teacher and Learner Processes. A 10-item checklist (table 2)
was adapted from Hastie et al. (2013) and Pereira et al. (2011) in order to
confirm the behavioural fidelity of the teacher’s instruction according to both
Sport Education and SGA model. Two trained observers with extensive
research in instructional models observed randomly selected lessons of the
three seasons and recorded the presence of those items. Items 1, 3, 4, 5, 7, 8
and 9 are characteristics of Sport Education, while items 2, 6 and 10 are related
to SGA model. A 100% agreement between the three observers confirmed the
absence of doubt regarding the instructional model used in each lesson.
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Table 2. Instructional checklist (adapted from Hastie et al., 2013 and Pereira et al., 2011) 1. Group of students go to a designated home area and begin warming up with that group. 2. The tasks under observation are basic game forms, game-like tasks or acquisition tasks, and the time spent in acquisition tasks is reduced to the minimum necessary. 3. Students practice together with their group/team under the direction of a peer leader. 4. The content of the task is related with the stage of the SGA that is being taught during the unit. 5. Students remain a part of easily identifiable groups throughout the lesson and throughout different tasks. 6. All the tasks are related with the small-sided game that is being taught. 7. Performance records are kept by students. 8. Students perform specialized tasks within their group/team. 9. Student performance scores count toward a formal and public scoring system. 10. Modifications to the full-game were performed.
Contextual and Operational Requirements.
In order to guarantee a proper implementation of an instructional model,
some favourable contextual conditions should be guaranteed, such as teacher
expertise and operational requirements (Hastie and Casey 2014; Metzler 2011).
With regard to the teacher expertise, despite his experience with PE (more than
20 years of teaching experience) and Sport Education (two years implementing
the model) the teacher participated in a workshop during the school year prior to
this study. This workshop comprised of lectures that focused on several
instructional models in PE context, discussions of the conceptualization and
purpose of Sport Education model, the specific application of Sport Education to
volleyball, as well as highlights of the outcomes of Sport Education research. In
addition, during the year prior to the study the teacher accomplished his
master’s degree, in which he applied of a hybrid Sport Education-SGA volleyball
unit. With specific regard to operational requirements, the space (at least 3
volleyball courts in all lessons) and material available (balls, cones, scorers,
whistles, etc.) to practice were guaranteed in order to create the perfect
conditions for the students learning throughout the implementation of the study.
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Data Collection
A systematic observation of video records of students’ behaviours while
playing a 10 minute 2vs2 game was used in order to analyse students’ play
performance at the entry (PreT) and exit (PosT) of each season. The tally
scoring method of the Game Performance Assessment Instrument (GPAI;
Oslin, Mitchell, and Griffin 1998; Mitchell, Oslin, and Griffin 2006) adapted to the
volleyball requirements (Mesquita et al. 2005) was used. When the amounts of
those actions were totalled, the Game Performance Index was calculated as
follows: (Decision Making+Adjustment+Skill Efficiency+Skill Efficacy)/4. A total
of 39,208 students’ behaviours, during approximately 3,360 minutes of
observations, were coded across the three seasons.
The reliability of the data was examined through intra-observer (15 days
after the first observation) and inter-observer testing procedures (performed by
a second observer). Following the recommendations of (Tabachnick and Fidell
2007), two researchers who were experienced in volleyball as both coaches
and players assessed 10% of the complete data set. Intraclass Correlation
Coefficients (ICC; Atkinson and Nevill 1998; Baumgartner and Jackson 1995)
ranged between 87% and 98%, which are above the percentages suggested by
(Fleiss, Levin, and Paik 2003) as acceptable levels.
Data Analysis
In order to quantify changes in the Game Performance Index over time, a
series of hierarchical linear models were constructed. For these models, Time
(measured in pre-/post-season assessments over three years for six total time
points) was nested within students. These mixed-effect regressions treated
Time, Skill Level (-0.5 = low skill; 0.5 = high skill), and Sex (-0.5 = Male; 0.5 =
Female) as fixed-effects.
Mixed effect linear regressions were conducted using R and R Studio (R
Core Team, 2014) using the ‘lme4’ (Bates et al. 2014) and ‘dplyr’ (Wickham and
Francois 2014) packages. To model changes in the Game Performance Index a
‘step-up’ procedure was used in which variables were added to successive
models. Models were compared based on the Akaike Information Criterion
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(AIC), Bayesian Information Criterion (BIC), and Wald Tests for the change in
deviance with α = 0.05 (Long 2012). The first model was a ‘random intercepts’
model that establishes a baseline level of deviance against which subsequent
models were compared. Subsequent models added factors of Time, Skill Level,
the quadratic effect of time, sex, and their interactions.
Results
The results of the students’ game play performances are presented in
Table 3, while Table 4 shows the outcomes of the various steps in the multi-
level modelling step up procedure. Figure 1 shows the change curves for each
participant as well as the mean (coloured line) at each assessment point.
Table 3. Game play performance across three seasons
Season 1
Pre-test M (SD)
Post-test M (SD)
∆
Population .51 (.17) .73 (.09) .22 Males .60 (.12) .76 (.08) .16
Females .38 (.14) .69 (.10) .31 Higher skilled .66 (.06) .77 (.09) .11 Lower skilled .40 (.12) .70 (.09) .30
Season 2
Pre-test M (SD)
Post-test M (SD)
∆
Population .71 (.11) .77 (.08) .06 Males .74 (.11) .80 (.07) .06
Females .67 (.11) .76 (.10) .09 Higher skilled .74 (.11) .80 (.07) .06 Lower skilled .68 (.10) .76 (.09) .08
Season 3
Pre-test M (SD)
Post-test M (SD)
∆
Population .75 (.10) .81 (.07) .06 Males .79 (.11) .84 (.05) .05
Females .71 (.10) .77 (.09) .06 Higher skilled .78 (.11) .83 (.05) .05 Lower skilled .73 (.10) .79 (.09) .05
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Table 4. Model comparisons
df AIC BIC logLik Deviance χ2 χdf p M0 3 767.36 775.02 -380.68 761.36 M1 6 729.66 744.99 -358.83 717.66 43.69 3 1.75e-
09 M2 7 724.90 742.78 -355.83 710.90 6.76 1 0.0093 M3 8 719.57 740.00 -351.78 703.57 7.33 1 0.0068 M4 12 704.89 735.54 -340.45 680.89 22.67 4 0.0001 M5 16 709.24 750.10 -338.62 677.24 3.65 4 0.4550
Figure 1. Individual and mean change curves
An examination of Table 4 shows that Model 4 provides the best fit. Model
4 predicted game performance as a function of the continuous variables of Time
and Time2, the categorical variable of Skill (lower = -0.5; higher = 0.5), and the
interaction of Skill with Time. Model 4 suggests that there was a nonlinear effect
of time on student performance, controlling for Skill, such that all participants
improved, but the rate of improvement declined over time. There was also a
statistically significant effect of Skill (see Table 5), in which lower skilled players
had significantly lower game performance at the first assessment (17.21 points
0,00
0,10
0,20
0,30
0,40
0,50
0,60
0,70
0,80
0,90
1,00
Pre 1 Pst 1 Pre 2 Pst 2 Pre 3 Pst 3
Ga
me
Pe
rfo
rm
an
ce
In
de
x
Assessment Point
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lower at the intercept) than higher skilled players. Furthermore, there was a
significant interaction of the Time and Skill, such that the rate of improvement
for the lower skilled players was steeper than the rate of improvement for the
higher skilled players. It should be noted that adding students’ Sex to the model
(along with the interactions of Sex with Time and Skill) did not explain any
additional variance (see Model 5 in Table 4). By all model fit indices (AIC, BIC,
and change in deviance), adding Sex as a predictor did not improve the model
controlling for Skill and Time.
Table 5. Model summary
Fixed-Effects Estimate Std. Error t (17) p Intercept 57.64 2.14 26.91 < 0.001 Time 13.28 3.19 4.16 < 0.001 Skillc 17.21 3.82 4.51 < 0.001 Time2 -1.26 0.42 -3.04 .003 Time:Skillc -2.39 0.99 -2.42 .014 Random-Effects
Groups Name Variance SD Cor Subject Intercept 22.57 4.75 Time 92.26 9.61 -0.31 Time2 1.46 1.21 0.30 Residual 50.38 7.10 Note. Estimates and standard error terms are presented as percentages. Cor = Correlation between the slope and intercept random-effects.
Given that the nonlinear model provided the best fit, Table 5 shows the
values of the various fixed effects within the model, the predictions of which are
shown in Figure 2. Examination of this figure shows that while lower skilled
students began at a lower entry point in the beginning of the seventh grade, by
the end of the ninth grade unit they were approaching the game play
performances of the higher-level students.
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Figure 2. Predictions from the nonlinear model effect of time.
Discussion
The aim of the present study was to analyse students’ game play
performance improvements across three hybrid Sport Education-SGA seasons.
In addition, this analysis took into account students’ sex and skill-levels. The
findings of the study showed that students of both sexes and skill levels
improved from their first experience with both models at the 7th grade until their
9th grade.
The extension of Sport Education implementation beyond a single season
experience has shown to be crucial of students’ learning. The sporadic
application of Sport Education seasons or the application of a single season
over time gives no time to control all the variables that could interfere with the
teaching and learning process (Brunton 2003). The complexity of the
organization of the activities within Sport Education (such as the distribution of
roles, the establishment of formal competition, and the allocation of students to
teams) and the relinquishment of the instructional leadership from the teacher to
the student-coaches have an impact on the effective time for practice and,
consequently, the time available for learning. Notwithstanding, in the present
study it could be assumed that students became progressively familiarized with
0,40
0,50
0,60
0,70
0,80
0,90
1,00
0 1 2 3 4 5
Ga
me
Pe
rfo
rm
an
ce
In
de
x
Assessment Point
Higher
skilled
Lower
skilled
Empirical Study 3
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these organizational and instructional issues throughout the three seasons,
spent less time on these tasks and, consequently, spent more time on learning
tasks. For instance, during the first unit, students spent considerable time
changing from one game to another within the competition phase. However, in
the following seasons they become more familiarized with the organizational
issues and the teacher could dedicate more time for practice or competition
within the lesson.
The combined used of Sport Education and the SGA also seemed to
make positive contributions to students’ improvements throughout the three
years. Indeed, from the beginning of the study students were presented with a
number of pedagogies that could enhance their learning. First and foremost,
game forms and technical and tactical skills were introduced to students
according to the problems disclosed by the game play within a step-by-step
approach (Mesquita et al. 2005). This phased progression allowed that both
formal and functional structure complexity remained aligned with the students’
tactical understanding and skill-level (Mesquita et al. 2015) throughout the three
years.
In addition, skill practices across the three units were presented mostly as
game-like situations, notably through the use of structuring and adaptation
tasks. This allowed students to practice within the same technical and tactical
structure and the variability of practice that resembled the actual game
conditions (Mesquita et al. 2015; Pereira et al. 2011). The integration of
technical and tactical components promoted significant gains in overall game
performance (which promotes both technical and tactical skill development) and
served to minimize the technical/tactical dualism previously discussed by other
researchers (French et al. 1996; Turner and Martinek 1999). These results
therefore support the need of holistic grounded programs rather than the
instruction of isolated skills as the preferred building blocks of game
competence (Mesquita et al. 2005).
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Findings According to Students’ Sex
As noted earlier, previous research on Sport Education has shown a
differentiating effect of students’ sex on their skill and game play improvements.
In these three hybrid Sport Education-SGA units, however, both boys and girls
showed similar game performance improvements from the beginning of the
study (7th grade) until the end of the three years (9th grade). This suggested that
the application of more than one Sport Education season over time might serve
to promote more equitable learning opportunities. While a number of equity
promoting features were instigated during the first season, the fact that these
were sustained and consolidated throughout the second and third seasons may
have given the students more time to appreciate them. Students started to feel
confortable to see all their teammates regardless their sex participating in all the
learning tasks, powerful positions (student-coaches, referees, etc.) and support
activities (statistician, etc.).
In addition, the affiliation achieved through the notion of persisting teams
embedded within Sport Education may have also contributed to the full
participation of all students. Specifically, by remaining on the same team across
the three years, the students were able to practice together and to support and
hold each other accountable. This ‘content imbedded accountability’ (Hastie and
Siedentop 2006) has been shown to promote students’ task engagement and
achievement of other common performance goals regardless of their sex
(Hastie et al. 2013; Pereira et al. 2015; Pritchard et al. 2008; Pritchard et al.
2014; Siedentop 1986).
Findings According to Students’ Skill-Level
In this study all students improved independently of their skill-level during
the first and second seasons. This can be observed in the Figure 2, in which
both higher and lower skill-level students improved in a similar way during these
two seasons. This was accomplished by the adjustment of content and learning
tasks according to the students’ skill-levels, namely through the use of task
modification. In particular, despite the participation of both skill-levels in the
same tasks, the difficulty of the task was adjusted to students’ skill-level. For
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instance, in a task in which the goal was sustain the ball over the net, high skill-
level students could only touch the ball one time while lower skill-level students
were allowed multiple contacts. In addition, the use of the graded competition
implemented during the second unit also contributed to the reduction of
difference between skill-levels during game play.
Notwithstanding, the results also show that despite the improvements of
all students, lower skill-level students achieved greater gains during the last
season. In fact, by the end of this third season, the lower skill-level students
were approaching the game performance scores of higher skill-level students. It
may well have been the case that in this third unit, the graded competition
should not only have the adaptation of rules, but also differente game forms
according to students’ skill-level. That is, the higher-skilled students may have
needed more challenging game (e.g., 3vs3) in order for everyone to be working
according their needs and levels, and thereby challenging them to work within
their ‘zone of proximal development’ (Vygotsky 1978).
Conclusions
This study has shown the value of implementing multiple seasons of the
same sport within Sport Education, particularly when team composition is kept
constant. The results show that all students achieved significant improvements
in game play with each successive season, regardless their sex and skill-level.
Further, the implementation of three units seems to produce a fading in the
gaps between skill levels.
While this study provided an analysis of more explicit and measurable
variables (e.g. sex and skill-level) related to the goals of Sport Education, an
examination of more implicit and less transparent variables operating within the
teaching and learning process (such is the case of students’ status) might also
follow. Future research is thereby encouraged in which longitudinal qualitative
designs are used to examine students’ engagement and the dynamics
operating within hybrid models. In this way, it would be possible to obtain a
more realistic portrait of the impact of these models, deeply understand the
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teaching-learning process by the identification of possible factors that might
promote different learning opportunities and, consequently, guide future model-
based research and practical implementations (Araújo, Mesquita, and Hastie
2014).
Funding
This work was supported by the Portuguese Foundation for Science and
Technology (FCT) / POPH / QREN / European Social Fund under Grant
number SFRH/BD/72361/2010.
Acknowledgments
The authors would like to thank Cláudio Farias for his assistance with the
preparation of this manuscript.
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Summary for practioners
The results of the present study have shown the benefits of the
implemmentation of Sport Education beyond a single seasons exeperience.
Students become progressively familiarized with the organizational and
instructional processes of the model, spent less time in these activities and,
consequently more time in learning tasks.
In addition, the SGA was effective in developing volleyball skills, by
providing a framework for the content and learning tasks taught during the
seasons. Skill practice were presented mostly as game-like situations, notably
through the use of structuring and adaptation tasks, and according to the
problems disclosed by the game play within a step-by-step approach.
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Finally, this study also showed the importance of the use of graded
competition in order to reduce the difference between skill-levels during game
play. Specifically, each team creates sub-teams who then compete within the
same skill-level and games may differ with respect to regulation (court size,
scoring, etc.).
IV. Final Considerations _________________________________________________
Final Considerations
155
Final Considerations
The motivation behind the current research was grounded on a keen
interest concerning the study of instructional models, in particularly Sport
Education (SE). These final thoughts result from the combined and integrated
analysis of the partial contributions from each of the four studies that compose
the current dissertation. This holistic interpretation of the results will allow a
deeper understanding of students’ learning and of the teaching and learning
process within SE seasons. Furthermore, the limitations of the present
investigation and future directions for research and practitioners are presented
at the end of this chapter.
Gaps on SE research
In an attempt to scrutinize what is currently known with respect to
students’ learning, several gaps on research in this area have emerged in our
systematic review. Namely, investigation on SE has been showing its
unequivocal impact on students’ personal and social development (e.g.,
motivation, engagement, enjoyment, enthusiasm), but not with respect to
students’ learning and the teaching and learning process that occurs within the
seasons. One major factor in need of further examination is the impact of SE
beyond a single season experience. Indeed, the available research on SE
asserts that the “application of more than one unit consecutively over time may
serve to improve the dynamics of social and instructional systems that occur
within working groups, and consequently improve students’ learning” (Araújo et
al., 2014, p. 856).
Moreover, the actual content taught and learned during the season, as
well as the nature of learning tasks within the instructional task system of the
season have also been identified as gaps on SE research. In fact, despite the
availability of research considering alliances between SE (and other models)
and the specific framework of the contents and learning tasks (Hastie &
Curtner-Smith, 2006; Mesquita et al., 2012; Pritchard et al., 2014), we believe
this body of knowledge is not sufficiently developed, in particular regarding non-
Final Considerations
156
invasion games. Beyond that, this review further highlighted the difficulties
associated with investigating the student-coaches’ content knowledge and
instructional skills within SE research. The implementation and subsequent
examination of protocols for student-coaches’ instructional preparation was
therefore proposed.
Additionally, our systematic review enhanced the differentiating effect of
students’ sex and skill-level on learning. As was asserted, “although research
has showed students’ improvements during the participation in Sport Education
seasons, the outcomes remain somewhat ambiguous since some studies report
superior learning outcomes for boys and higher skill-level students while others
studies found superior learning outcomes for girls and lower skill-level students”
(Araújo et al., 2014, p. 852).
In light of the identified gaps in current knowledge, the ensuing empirical
studies (article 2, 3 and 4) intended to fill precisely these breaches. Specifically,
our empirical research sought to examine the combined use of SE and Step-
Game-Approach (SGA) beyond a single season experience upon student-
coaches’ instructional evolution, as well as on students’ learning outcomes,
taking into account students’ sex and skill-level. The (i) combined used of SE
and SGA, (ii) the longitudinal application of the model, and (iii) a proper
preparation of student-coaches trough the application of specific protocols,
concurred to the promotion of improvements in student-coaches’ instructional
skills and, consequently, stimulated improvements in game play by the
students, regardless of sex and skill-level.
The role of studying the first season experience
Our second article intended to analyse students’ improvements in
volleyball during the course of a hybrid season combining SE and SGA, while
simultaneously exploring problems emerging within a SE season. Results have
shown the effectiveness of a hybrid combination of SE and SGA on students’
game play performance in volleyball, namely decision-making, adjustment, and
skill efficacy and efficiency, both in boys and in girls. Nevertheless, results also
suggested a differentiating effect of the model according to the students’ skill-
Final Considerations
157
level. While the lower skill-level students improved in all parameters of the
game play, higher skill-level students exhibited a ceiling effect. The nature of
the formal competition has been pointed out as a possible limitation for higher
skill-level students. That is, in this season the competition was the same for all
the students (in this case, mostly 1vs1). Consequently, those students with
higher entry levels should have more challenging content, perhaps dedicating
more time playing 2vs2.
Therefore, we suggest that future seasons (practice and research) should
adjust the content and the learning tasks to the different skill-levels presented
within the season. This could be accomplished by the use of “graded
competition” (Siedentop et al., 2011). Specifically, each team creates sub-
teams, who compete within similar skill-levels. In some cases, the game
themselves may differ, such as court size and/or scoring rules. Furthermore,
student-coaches showed insufficient instructional skills during the peer-assisted
tasks of this first unit, as was shown further ahead in your research. That is,
they failed to organize the tasks with their teammates, to identify their
performance errors and to provide feedback, and also to modify the tasks
whenever necessary. As such, for following seasons to be successful,
improvement of student-coaches’ instructional skills was required.
The potential of protocols for student-coaches’ instructional preparation
The third article intended to evaluate the impact of specific formats for the
instructional preparation of student-coaches. These protocols showed to be
effective in improving student-coaches’ instructional skills (in particular task
presentation, error diagnosis, feedback and task modification), which provided
useful insights regarding the importance of specific formats for student-coaches’
instructional preparation.
Specifically, the first protocol (season 2) began with the teacher modelling
a number of instructional skills (i.e., task presentation and feedback) for the
student-coaches. This first phase allowed student-coaches to have a visual
model of what was expected of them in order to organize the tasks with their
teammates and to provide them with feedback. This protocol also
Final Considerations
158
comprehended the implementation of a pre-lesson meeting with the student-
coaches, which allowed the teacher to deliver the tasks to be organized during
the upcoming lesson. In turn, this promoted a greater awareness of how to
organize a lesson in student-coaches, which had not happened during the
previous season. During these meetings the teacher had time to explain the
content to be taught, notably the technical and tactical skills that would be
approached during the lesson (i.e., critical elements, most common errors, etc.),
as well as possible task modifications. This promoted the development of the
student-coaches’ content knowledge, and consequently improved error
diagnosis during peer-assisted tasks, and subsequent provision of feedback.
The teacher also began to incorporate the suggestion of Wallhead and
O’Sullivan’s (2007) of a “coaches’ corner” in order to guide and support the
student-coaches throughout the practice. Their instructional improvements
allowed the teacher to move away from the centre of the instructional process
and a truly student-centred environment started to emerge, thereby helping
students in becoming more active, creative and social learners (Dyson et al.,
2004; Perkins, 1999).
During the third season, the preparation of student-coaches went even
further through the use of video watching and planning sheets. Given the
increased complexity of the content being taught during this third unit, the
videos allowed student-coaches to more deeply analyse and reflect upon their
intervention during the tasks, and consequently to solve the remaining
instructional issues that had been observed in the previous unit. These included
(i) the lack of demonstration, keywords and critical components during task
presentation; (ii) difficulties in providing feedback on more complex tasks (such
as adaptation tasks); (iii) prescriptive style of student-coaches’ intervention; and
(iv) the lack of modification by exaggeration. On the other hand, the planning
sheets served to overcome potential communication inadequacies between the
teacher and the student-coaches, and could be consulted whenever student-
coaches had doubts or had forgotten some issue pertaining the task (e.g., key-
points, organization, among others).
Final Considerations
159
Not only did student-coaches improve their instruction during this third
season (e.g., proper task presentation, feedback during adaptation tasks, task
modification by exaggeration, among others), they further moved from a
prescriptive toward a more constructivist profile in their intervention. Unlike what
had been verified in the first two seasons, student-coaches started using
questioning as a pedagogical strategy in their intervention (e.g. feedback), and
discussing the didactical intention and the organization of the lesson with their
teammates, both of them important features within a constructivist and student-
centred approach such is the case of SE (Dyson et al., 2004). These
improvements on student-coaches’ instruction operated to surpass some of the
remaining scepticism of both researchers and practitioners with respect to
student-coaches’ instructional skills. In essence, the problem relied not on the
lack of student-coaches’ instructional skills but rather on the lack of student-
coaches’ preparation throughout SE seasons. This might serve to move away
from decontextualized and sometimes boring experiences in Physical Education
(PE) (Siedentop et al., 2011) towards a “peripheral participation in a community
of practice of exercise, and physical recreation” (Kirk & Macdonald, 1998),
without underestimating the substantive value of students’ learning (Mesquita et
al., 2012).
The application of SE and SGA beyond a single season experience
The application of this hybrid model beyond a single season experience
was also effective to improve students’ game play performance (article 4). All
students continued to improve from their first experience with the model up until
the end of the investigation, regardless of sex and skill-level. The consecutive
application of both SE and SGA benefited the dynamics of the social and
instructional systems within the season and consequently improved students’
learning. In particular, the complexity of the organization of group activities
within a SE season (such as the allocation of students to teams, the
organization of competition games, and the distribution of within game roles,
among others) had an impact on the effective time for instruction and practice
and, subsequently, on the time available for learning.
Final Considerations
160
Since the participation of students was not limited to a single season
experience, they had the opportunity to become progressively more familiarized
with these SE processes throughout the seasons, thereby spending less time
on organizational tasks and, accordingly, more time on learning tasks. As
exemplified in the fourth empirical paper, during the first season students took
too long to change from one game to another within the competition lessons or
from one learning task to another on the practice sessions; they also spent way
too much time to start the performance records as statisticians. Nevertheless, in
the following seasons students became more familiarized with the organization
and routines of the lesson (such as teachers’ signals), thus having had more
time dedicated for learning tasks.
In sum, these results contribute to the idea that longer and more
consecutive units over time are beneficial, since students have shown a
sustainable progress throughout the three years spanned by this research.
Nevertheless, several educational authorities throughout the globe persist in
limiting the time that can be spent on one particular content area in PE (Hastie
et al., 2013; Kirk, 2010).
The potential of the combined use of SE and SGA
The combined use of SE and the didactical framework of the SGA model
were crucial to students’ learning throughout the three years (article 2 and 4). In
fact, during the three seasons students were presented with a number of
pedagogies that enhanced their learning. First and foremost, game forms were
introduced to students according to their skill level within a step-by-step
approach. Additionally, technical and tactical skills were taught according to the
problems disclosed during their game play. Specifically, previous to the study
students’ had had no previous experience with volleyball and, as such, the first
seasons were dedicated to the first step of the SGA model (mostly 1vs1 game
and overhead pass) (article 2). Throughout the two following seasons students
evolved to the 2vs2 game and higher skill-level students were ready to learn the
3vs3 game at the end of the study (article 4). This step-by-step progression
throughout the three seasons allowed that the complexity of both the formal and
Final Considerations
161
the functional structures remained aligned with students’ game play, tactical
awareness and skill level.
The SGA also allowed content and learning tasks to be presented to
students as game-like situations. Namely, the use of mostly adaptation and
structuring tasks rather that isolated skills practice allowed students to practice
within the same technical and tactical structure and variability of practice that
resemble the actual game conditions (Mesquita et al., 2015; Pereira et al.,
2015). These tasks promoted the integration of technical and tactical
components, thereby stimulating significant gains in overall game performance
(which comprehends both technical and tactical skills), while concurring to
invalidate the technical/tactical dualism previously found and refuted by other
researchers (French et al., 1996). These results therefore support the need for
holistically grounded programs rather than instruction of isolated skills taken as
building blocks for game competence.
Together, these results suggested that the SGA model provides a
profitable and pursuable didactical framework for the teaching of volleyball in a
SE environment. This alliance between these two instructional models with
different frameworks allowed to achieve students’ learning outcomes without
losing the affective and social goals of SE that are so valued by the students.
The impact of the design on the differentiating effect of student’s sex and skill-
level
SE research has been highlighting a differentiating and equivocal effect of
sex and skill-level on students’ learning (see the systematic review for a more
in-depth analysis). As aforementioned, the second article of this dissertation
sustained these claims. Despite both boys and girls making improvements from
the begging to the end of the unit, in this study lower skill-level students were
the primary beneficiaries of the hybrid unit. Nevertheless, and since the present
investigation was not limited to one season, it was possible to follow the
recommendations suggested in the second article during the implementation of
the following two seasons (article 4). Indeed, the graded competition applied on
Final Considerations
162
both the second and third seasons allowed the improvements of all students,
broadly higher and lower skill-level students.
In addition, the adjustment of content and learning tasks in SGA according
to students’ skill-level was crucial to the improvements of all students,
expanding the benefits to higher skill-level students. In particular, all students
participated in the same tasks but the difficulty of the tasks was adjusted to
each student’s skill-level by the use of task modification by representation
(contacts per player/team, easier scoring, etc.). Even so, despite the
improvements of all the students, lower skill-level students seemed to achieve
greater gains in performance during the last season. This has suggested that
the mere adaptation of content and learning tasks was not sufficient to promote
superior learning in higher-skill level students, who may require more
challenging game formats (in this particular case, possibly more time dedicated
to the 3vs3 would have been beneficial).
Notwithstanding, our research has supported the focus of SE on inclusion
and on equal participation of both boys and girls in PE. Unlike the case of
previous research (e.g., Brock et al., 2009; Curnow & Macdonald, 1995; Hastie,
1998a, 1998b; Hastie & Curtner-Smith, 2006; Hastie et al., 2009; Mesquita et
al., 2012; Pereira et al., 2015), here both boys and girls improved on their game
play performance throughout the three seasons. The learning environment
sustained by the combined use of SE and SGA, coupled with a longitudinal
design, seemed to be effective in minimizing inequities and power imbalances
between boys and girls, including: (i) access to game roles on a rotating basis;
(ii) formal competition schedule ensuring the same opportunities for girls and
boys; (iii) student-coaches being chosen by the teacher; (iv) accountability
systems promoting similar learning opportunities for boys and girls (such as the
ball having to be contacted by all the players, the promotion of three contacts
before sending the ball to the opponents’ court, and ensuring that all students
should participate in all functions of a given drill); and (v) affiliation features of
SE, allowing students to practice together and to support and hold each other
accountable.
Final Considerations
163
These equity-promoting features were prompted during the first season
and were maintained and consolidated throughout the second and third
seasons, which may have given the students more time to appreciate them.
Students started feeling confortable with their teammates participating in all the
learning tasks regardless of sex, even where powerful positions were
concerned (e.g., student-coaches, referees). This lack of influence of students’
sex on students’ improvements during this study suggests that perhaps the
most important question on PE iniquities is not students’ sex (e.g., Ennis, 1999;
Flintoff, 2008; Flintoff et al., 2008; Nicaise et al., 2007; Shimon, 2005; Solmon et
al., 2003; Williams & Bedward, 2010; Williams et al., 2000) but instead more
implicit and occult variables operating within the working groups, such as
students’ status (Brock et al., 2009).
The fidelity of instruction and inclusion of a retention test
Our research also sought to respond to other two factors highlighted by
recent research, notably issues concerning the fidelity of the implementation of
model-based instruction and the inclusion of a retention test. Respectively, to
date research has been scarce in providing detailed descriptions of the
curricular elements of the unit together with a detailed validation of model
implementation (Harvey & Jarret, 2014; Hastie & Casey, 2014). Since
responses to model based approaches has tended to be specific (Metzler,
2011), the inclusion of rich descriptions of the program context emerges as
crucial, including (but not limited to) teacher expertise and contextual features.
In this way, a checklist adapted from previous research on both SE and SGA
was developed and applied by two experts in order to verify whether the
instruction was consistent with the accepted standards of both models (article 2
and 4). In addition, and despite teacher’s expertise with PE (more than 20 years
of teaching experience) and with both models (one year and a master’s
degree), proper preparation was crucial to an instruction aligned with the spirit
of its creators.
In the same line, as underlined by our review, most of SE research only
analysed students’ improvements before and at the end of the unit. These
Final Considerations
164
studies did not consider the application of a retention test in order to verify the
maintenance of the improvements after the end of the season. Only with the
application of a retention test will it be possible to produce an accurate
assessment of students’ improvements (Haerens & Tallir, 2012). Thus, in our
empirical research we considered this issue properly, hence ensuring the
application of a retention test. The observed students not only improved in
almost all dimensions of game play, they further maintained those
improvements until the retention test. Even though the three seasons were
separated by approximately 12 months, students retained the improvements
throughout the three seasons.
Limitations and future directions
The present dissertation has shown to be important for SE research,
especially since it has responded to calls to examine factors that to date had
warranted further investigation. Notwithstanding, throughout the four articles
other directions that future research might follow have emerged. In particular,
articles two and four have provided an analysis of more explicit and measurable
variables (e.g. sex and skill level) related to the goals of SE. Nevertheless,
future research is encouraged to examine the impact of other variables on
students’ learning, such us those related with the teacher (e.g., experience with
the model and sport content knowledge), and students (e.g., the
aforementioned students’ status, prior sport experiences, motivation, and
engagement).
Overall, SE research should start making use of more sophisticated
research designs, changing the focus of the investigations towards more
qualitative perspectives. Case studies and action research designs will allow a
deeply understanding of teaching and learning experiences. In particular,
action-research designs allow a close monitoring in the implementation of
pedagogical approaches (Casey & Dyson, 2009; Casey et al., 2009), and
consequently let teachers achieve better and farther-reaching results when
used to accomplish pedagogical change (Van Looy & Goegebeur, 2007). In
turn, case studies allow the investigation of a particular phenomenon within its
Final Considerations
165
real-life context, holding thus the potential to achieve a deeper understanding of
a particular or unique situation. Within this participatory research, several
methods are available (including diaries and visual methods such as photo-
elicitation and photo-voice) that are considered pertinent ways for participants to
engage in research and generated data (Enright & O'Sullivan, 2012).
In addition, there is a need to examine the potential of SE to positively
transform students’ experience beyond PE. In this vein, future research should
analyse school communities’ partnerships. Indeed, one of the most important
goals of SE is the development of students’ enthusiasm and consequently
promoting students voluntary involvement in sport outside of the school context.
Notwithstanding, and despite SE having been developed to link PE experiences
with the promotion of a sport culture, to date no reports of research were found
supporting this connection (Hastie et al., 2011; Wallhead & O’Sullivan, 2005;
Penney et al. 2002).
In the same line, research should also analyse the effectiveness of the
application of SE on other contexts beyond PE lessons, such as institutionalized
sport contexts. SE has shown to be effective in the development of game play
performance in a variety of sports, including non-invasion sports (article 2 and
article 4), invasion games (e.g., Mesquita et al., 2012) and individual sports
(e.g., Hastie et al., 2013; Hastie et al., 2009). In addition, several studies have
also been reporting students’ enthusiasm and enjoyment as result of a
participation in SE (e.g., Hastie & Sinelnikov, 2006; Kim et al., 2006). Therefore,
the application of SE in institutionalized sport contexts (or at least some of its
features) might have the potential to promote the same performance
improvements but accompanied with SE’s intended personal and social
outcomes. This is particularly relevant given recent accounts of SE’s superiority
when compared to more traditional instruction models (Pritchard et al., 2008;
Pereira et al., 2015).
Moreover, as aforementioned, SGA provided a crucial contribution to the
implementation of SE. Notwithstanding, as it happened with the present study,
to date research has only focused on the first steps of the model (1vs1 and
2vs2). Therefore, future research should examine the impact of SGA on higher
Final Considerations
166
skill-level stages (such as 3vs3, 4vs4 and 6vs6). In addition, the present
dissertation has shown the effectiveness of this didactical framework to
teaching volleyball on school contexts. Nonetheless, it is our perception that this
model could potentially fit to teaching other non-invasion games (such as tennis
and badminton) on school, or in fact in any context (for instance, club context).
Future research should therefore explore this issue and provide empirical data
that could sustain or hinder these perceptions.
Per last, given Metzler’s (2011) notion that there is no “one best way to
teach”, the combination of SGA should not be limited to SE model. Many more
instructional models exist that could profit from the didactical framework of SGA
applied to the teaching of non-invasion games.
Recommendations for practice
The results of the present study have clearly shown the benefits of the
implementation of SE beyond a single season experience. Even though
governmental regulations sometimes do not allow consecutive applications of
SE, future application of this model (or perhaps any model-based instruction)
may consider the application of more than one season experience over time.
Furthermore, SGA was effective in developing volleyball skills by providing
a framework for the content and learning tasks taught during the seasons. Skill
practices were presented mostly as game-like situations, notably through the
use of structuring and adaptation tasks, always in accordance with the problems
disclosed by the game play within a step-by-step approach. Future
implementation of SE should contemplate a combined use of SE and other
models, providing a proper framework to the content and learning tasks during
the season. In addition, the use of graded competition must also to be
considered in order to provide opportunities for learning to all students
regardless their skill-level. Specifically, each team may create sub-teams, which
then compete within the same skill-level. Also, games may differ with respect to
regulation (court size, scoring, etc.).
Finally, student-coaches’ content knowledge and instructional skills can be
potentially problematic during SE season. Even though we are aware of the
Final Considerations
167
organizational difficulties associated with the protocols implemented in this
study (for instance, the application of an extracurricular meeting), PE teachers
should consider the need to provide effective student-coaches’ preparation
through specific protocols (for instance, using structured pre-lesson meetings
with student-coaches, coaches’ corners, teacher’s scaffolding, etc.). This study
has shown some pedagogical strategies that can assist teachers in better
preparing student-coaches. In this way, the protocols implemented during this
study will be available to the school community.
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ERRATA
Errata regarding the dissertation “Long-term Implementation of Sport
Education and Step-Game Approach: The Development of Students’
Volleyball Competence and Student-Coaches’ Instructional Skills”.
Rui Manuel Flores Araújo
Page Line Where it is
written
Should be
written
9 5 mode model
16 17 ...three SE
seasons
...three SE-SGA
seasons
33 23 36,954 3695
34 2 No paragraph
46 30 qualitative quantitative
86 2 Boys Higher
86 2 Girls Lower
101 10 …cooperate with
the in
…cooperate with
the partner in the
106 11 …where they
need to in this
acquisition task.
…where they
need to.