insook lee sejong university aect 2003 annual conference anaheim, ca. usa 2003. 10.23
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Self-Regulation, Self-Efficacy and e-Learning Strategies during e-Learning and Academic Achievement. Insook Lee Sejong University AECT 2003 Annual Conference Anaheim, CA. USA 2003. 10.23. Introduction. - PowerPoint PPT PresentationTRANSCRIPT
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Self-Regulation, Self-Efficacy and e-Learning Strategies during e-Learning and
Academic Achievement
Insook Lee Sejong University
AECT 2003 Annual ConferenceAnaheim, CA. USA
2003. 10.23
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the maturity of information society. the increase of the demands for distributed learning, lifelong learning, and learner-regulated learning
cyberspace: openness, flexibility, decentralization
the increase of needs for self regulation (Knowles, 1998)
Within the increased flexibility of the new technology, the learning results may vary depending on individual learners’ intellectual competencies and learning preferences(Jacobson & Spiro, 1995; Owston, 1997; Windschitl, 1998).
Introduction
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Introduction self regulated learning’s impacts on learning
processes and learning achievement:
• various research evidences • Its impacts are prospected to be stronger in e-learning
environment (Hartley & Bendixen, 2001). • But, most research on e-learning simply applies and
presupposes the same learning strategies identified and discussed in the traditional face-to-face learning environment.
• increased need for reconsideration of self regulated learning roles within e-learning context in a systemic and multidimensional way.
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to examine self-regulated learning strategies(Zimmerman & Martinez-Pons), self-efficacy (Pintrich & DeGroot), and e-learning strategies (Lee) within the e-learning environment
to search for implications for instructional interventions. 1. How are the self-regulated learning strategies, self-
efficacy, and e-learning strategies related to student academic achievement within the e-learning environment?
2. What are the relations among self-regulated learning
strategies, self-efficacy, and e-learning strategies?
Goals of Study
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meaningful learning : the foremost goal of education
characteristics of meaningful learning: The concept of ‘self-regulated’ is emphasized.
self-regulation: broad and complex concept. Each researcher proposes his/her own concepts and categories according to his/her theoretical background and interests.
Literature Review
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Zimmerman(1990): explaining self-regulation with the systematic use of meta-cognitive, motivational and behavioral learning strategies
meta-cognitive: practicing of planning, goal setting, organization, self-monitoring, self-evaluation
motivational aspects (Paris, Lipson, & Wixson, 1983; Pintrich & De Groot, 1990) : self-efficacy, self-consequencing, internal task interest, efforts and endurance (Borkowski et. al., 1990; Henderson, 1986; Schunk, 1986; Zimmerman & Martinez-Pons, 1986)
Behavioral aspects: seeking assistance, seeking information, seeking for appropriate learning environment, self instruction, and self reinforcement, etc. (Diaz & Neal, 1992; Henderson, 1986; Rohrkemper, 1989; Zimmerman, 1990; Zimmerman & Martinez-Pons, 1986).
Literature Review
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Time management
considered to be part of resource management (Zimmerman & Martinez-Pons, 1986), part of self-management (Pintrich and DeGroot, 1999)
can deeply influence learning ability Effective use of learning time is the product of learning
strategies such as planning and goal setting (Zimmerman, Greenberg, & Weinstein, 1994).
Literature Review
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Time management: Macan, Shahani, Dipboye, &
Phillips (1990)
Time management: multi-dimensional characteristics
Critical relations among time management, learning performance and stress
Time management: Delucchi. Rohwer, & Thomas
(1987) Identifying the relations between learning time allocation
styles and learning achievement
Literature Review
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Time management: Britton & Tesser (1991)
Time management behavior predicted learning achievement more than IQ (SAT score) did.
College students, time management test, after 4 years, comparing with GPA.
Literature Review
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Time management: Trueman & Hartley (1995)
British college students. applying Britton & Tesser’s research frame(1991). scales of time management and one semester’s GPA
findings in 3 categories different from Britton & Tesser’s
daily planning and long term planning: more outstandingly appeared in this research, comparing to Britton & Tessor’s.
confidence on long term planning: slightly but significantly correlated with various learning outcomes
Literature Review
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Time management: e-learning E-learning demands learners abilities to operate their own
time, to process information, and to plan and manage materials (Hanna, Glowacki-Dudka, & Conceicao-Runlee, 2000).
Self-regulation is emphasized as the critical factors when considering e-learning environment design and instructional strategies.
• Burge(1993), Eastmond(1993)• Lee (2000), Lee (2002), Lee (2003) • Jo & Lim (2002)
Literature Review
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Burge (1993): e-learning strategies Especially choice-making, expression, group interaction,
and organization of information
Eastmond (1993): e-learning strategies
effective use of the features of multiple discussion, information overload, and text ambiguity
development of strategies required for online information processing
decision of how to contribute to cyber community transferred strategies from F2F: time management,
learning styles, social skills, positive attitudes, goal setting, information seeking, self-confidence
Literature Review
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Lee (2000) : web based e-learning context
college students’ e-learning strategies expression, information processing, self-regulation, and
seeking for human resources
Lee (2001): web based e-learning context
adults learners over 20 years old. the relationship between
8 e-learning strategies and learning achievement time management, self-efficacy, and positive attitude:
positively predict learning achievement
Literature Review
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Lee (2002) gender differences on self-regulated learning in the e-
learning context interaction, information processing, sincerity, and
persistence
Jo & Lim (2002)
time management : negative predication on learning
achievement with the Goal based Scenario e-Learning
context
Literature Review
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Melburg and Others(1993)
800 adults, to develop assessment tools for the distance education context by applying Weinstein’s LASSI
10 sub variables categories did not appear in the distance education context. Also elements of each sub variable category was not well concordance with LASSI.
implications: 1. Adult learners in distance education environment may
have learning needs slightly different from traditional campus based one.
2. can’t fully assess learning strategies variables in distance or e-learning environment with traditional self-regulated variables only
Literature Review
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Implications of Literature Review:
Not everybody receives the same benefits from self-regulated environment.
Learners need to have self-regulation in learner-controlled environment such as e-learning environment.
high possibilities that self-regulation variables and categories identified in traditional F2F settings may have some limitations in understanding self-regulated learning strategies in e-learning environment
Nonetheless, current literature lacks interests on holistic and specific understanding of self-regulation in e-learning environment itself.
Literature Review
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Study Methods and ProceduresSubjects randomly selected 77 adult learners who were enrolled in one
of the Korea's Digital Distance Universities varied in terms of the majors, ages, and genders (22
freshmen &55 sophomores; 33 in social sciences, 22 in electronics and engineering, & 22 in arts; 46 males & 31 females). Age spans: 21∼57
Instruments Three kinds of questionnaires were employed and each item
was designed with 5-point Likert scales. self-regulated learning strategies by Zimmerman and
Martinez-Pons (a 14 Item questionnaire) self-efficacy by Pintrich and De Groot (a 9 item questionnaire) e-learning strategies by Lee (a 39-item survey questionnaire)
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Zimmerman & Martinez-Pons’ 14 Self-regulated strategy:
1) Self-evaluating 2) Organizing & transforming 3) Goal setting & planning 4) Seeking information 6) Environment structuring 7) Self-consequencing 8) Rehearsing & memorizing 9) Seeking assistance Peer/Teacher/Adult, and 10) Reviewing Test/Notes/Texts
Internal consistency in the current study: Cronbach's α=.90
Study Methods and Procedures
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Pintrich & DeGroot’s (1990) self-efficacy 9 self-efficacy items from Motivated Strategies for Learning
Questionnaire (MSLQ). Originally 7-point Likert scales but revised to 5 points. (Cronbach's α=.89)
• Compared with other students in this class I expect to do well.• I’m certain I can understand the idea taught in this course.• I expect to do very well in this class.• Compared with others in this class, I think I’m a good student.• I am sure I can do an excellent job oh the problems and tasks
assigned for this class.• I think I will receive a good grade in the class.• My study skills are excellent compared with others in this class• Compared with other students in this class I think I know a great
deal about the subject.• I know that I will be able to learn the material for this class.
Study Methods and Procedures
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Lee (2001) e-learning strategies 8 sub categories, 39 items, 5 point Likert scale
Expression (in text) α=.78 Multiplicity in interaction α=.83
Group Discussion I item Information overload α=.57
Information processing α=.81 Asynchronicity management α=.70
Time management α=.75 Information interpretation α=.74
Study Methods and Procedures
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Learning Achievement Analysis
individual learner’s one semester GPA (4.3 point scale) totally 58 courses offered. midterm, final exam, assignments, and learning activities:
varied combinations
more than half of the courses used midterm and final exams only for grading.
20 courses used attendance rates for grading and in average 10% of the total grade points
Study Methods and Procedures
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Research Findings
1. How are the self-regulated learning strategies, self-efficacy, and e-learning strategies related to student academic achievement within the e-learning environment?
‘time management’ (Beta =0.55, R=0. 478, p <. 001): the most significant predictor on academic achievement
step-wise
variables R R² Β F P
Time management
0.478 0.228 .551 17.461 .000
Information interpretation
0.540 0.292 -.263 11.961 .000
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In addition, only Lee’s e-learning strategies significantly predicted academic achievement (F=3.37. p=0.03); however, not Zimmerman’s self-regulated learning strategies (F=2.44, P=.123) and Pintrich’s self-efficacy (F=3.51, p=0.065).
Variables R R² F P
E-learning strategiesSelf-efficacySelf-regulated Learning strategies
0.5770.2130.179
0.3330.0450.032
3.3723.5072.439
.003
.065
.123
total 0.588 0.346 2.641 .011
Research Findings
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2. What are the relations among self-regulated learning strategies, self-efficacy, and e-learning strategies?
positive and moderately high relations among self-regulated learning strategies, self-efficacy, and e-learning strategies
e-Learningstrategies
Pearson CorrelationN
1.000 63
Self-efficacyPearson CorrelationN
.634** 1.000 62 76
Self-regulated Learning strategies
Pearson CorrelationN
.637** .605** 1.000 62 75 76
**p < .01
Research Findings
e-Learning strategies self-efficacy Self-regulated learning strategies
e-Learning strategies self-efficacy Self-regulated learning strategies
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confirmed in the e-learning environment the close correlation between Zimmerman’s self-regulated learning strategies and Pintrich’s self-efficacy well identified in the traditional learning environment.
Moreover, identified the close correlation between e-learning strategies and self-regulated learning strategies/self-efficacy.
In the contrary, however, group discussion, information processing, and time management within Lee’s e-learning strategies were not associated with self-regulation and self-efficacy (p > 0.05) or slightly associated with. This result indicated that e-learning strategies may not be e-learning strategies may not be comprehensively dealt with by the traditional framework of comprehensively dealt with by the traditional framework of self-regulation and self-efficacyself-regulation and self-efficacy.
Research Findings
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- - - - - - - - - -
.768** - - - - - - - - -
.570** .580** - - - - - - - -
.580** .583** .394** - - - - - - -
.702** .644** .396** .631** - - - - - -
.700** .705** .364** .453** .677** - - - - -
.369** .482** .212 .239* .460** .635** - - - -
.371** .458** .310* .594** .521** .378** .294* - - -
.513** .462** .263* .335** .536** .681** .605** .361** - -
.669** .562* .235* .449** .690** .715** .385** .159 .605** -
* P 〈 0.05, ** P 〈 0.01
Research Findings
variablesvariables
ExpressionExpression
ExpressionExpressionMultiplicity in interaction
Multiplicity in interaction
Group Discussion
Group Discussion
Information overload
Information overload
Information processing
Information processing
Asynchronicity management
Asynchronicity management
Time management
Time management
Information interpretationInformation
interpretationSelf-
efficacySelf-
efficacy
Self-regulated learning strategies
Self-regulated learning strategies
Multiple discussionMultiple
discussion
Discussion managementDiscussion
management
Information overload
Information overload
Information management
Information management
Asynchronicity management
Asynchronicity management
Time management
Time managementInformation
interpretationInformation
interpretationSelf-
efficacySelf-
efficacySelf-
regulated learning strategies
Self-regulated learning strategies
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Discussion and Conclusion
1. What are the relations among self-regulated learning strategies, self-efficacy, and e-learning strategies?
the higher Zimmerman & Martinez-pons’ self regulation, the higher Pintrich & DeGroot’s self-efficacy, the higher Lee’s e-learning strategies
in the e-learning environment: • the higher Pintrich & DeGroot’s self efficacy, the higher time
management - regular and efficient learning time use, successful use of asynchronous learning environment and potentiality
• The better Zimmerman & Martinez-pons’ self-regulation, the better asynchronocity management, information processing, and expression.
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Positive correlation between Zimmerman & Martinez-pons’ self-regulation and Pintrich & DeGroot’s self-efficacy appears in the e-learning environment too.
But, some strategy variables with no or little relations are identified. What it means? the need for academic efforts to understand and identify specific self-regulation strategies newly appearing or more outstanding in e-learning environment
information interpretation, group discussion, time management, and information overload: high possibility to be ignored in the research framework in F2F environment.
Discussion and Conclusion
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2. How are the self-regulated learning strategies, self-efficacy, and e-learning strategies related to academic achievement within the e-learning envirionments?
Various research on time management that can predict learning achievement (Britton & Tesser, 1991; Trueman & Hartley, 1995) or that is correlated with learning achievement (Macan, Shahani, Dipboye, & Phillips, 1990) is confirmed in the current e-learning context.
Confirms various research that time management is the most predicting variable for learning achievement in e-learning environment (Lee, 2002; Lee, 2003; Jo & Lim, 2002).
Implies that there would be limitations in supporting self-regulation in e-learning environment if we rely on solely the models and schemes based on F2F environment such as Zimmerman & Martinez-pons’ and Pintrich & DeGroot’s….
Discussion and Conclusion
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Q & A
[email protected] http://www.sejong.ac.kr/~inlee