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USING A CONNECTVIST MASSIVE OPEN ONLINE COURSE (MOOC) FOR STAFF PROFESSIONAL DEVELOPMENT by Joel Rodriguez A dissertation proposal submitted in partial fulfillment of the requirements for the degree of Doctor of Education Field of Educational Leadership and Management at the DREXEL UNIVERSITY July 2013 Drexel University Summer Quarter, 2013

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USING A CONNECTVIST MASSIVE OPEN ONLINE COURSE (MOOC) FOR

STAFF PROFESSIONAL DEVELOPMENT

by

Joel Rodriguez

A dissertation proposal submitted in partial fulfillment of

the requirements for the degree of

Doctor of Education

Field of Educational Leadership and Management

at the

DREXEL UNIVERSITY

July 2013

Drexel University

Summer Quarter, 2013

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Copyright by

Joel Rodriguez 2013

All Rights Reserved

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Abstract

USING A CONNECTVIST MASSIVE OPEN ONLINE COURSE (MOOC) FOR STAFF

PROFESSIONAL DEVELOPMENT

Joel Rodriguez

Drexel University, 2013

Chairperson: Joyce Pittman

Human resource professionals are not meeting their employee’s preferences for professional

training and development delivery. This failure has far reaching micro and macro economic

implications in the advancement of product and service innovation, which in the past has driven

the United States to unprecedented wealth. Much of the literature analyzes the effectiveness of

traditional forms of training and development programs such as face-to-face, mentoring, and

coaching. However, there is little research on the use of Connectivism, a theory for 21st century

learning expressed through Massive Open Online Courses (MOOCs), as a model for employee

training and development. The purpose of this mixed methods study is to identify an effective

approach to maximizing employee training and development program outcomes at a large urban

research university in the Northeast. The research questions this study seeks to answer are: How

does student performance learning outcomes compare between a face-to-face workshop and a

Connectivist MOOC? In what ways does community based online instruction, a Connectivist

perspective, enhance faculty and staff training and development?

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The Dissertation Committee for Drexel University

certifies that this is the approved version of the following dissertation:

USING A CONNECTVIST MASSIVE OPEN ONLINE COURSE (MOOC) FOR

STAFF PROFESSIONAL DEVELOPMENT

Committee:

__________________________________

Joyce Pittman, Supervisor

__________________________________

Ken Mawritz,

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Dedication

This dissertation is dedicated to:

My wife and kids. For allowing me to pursue a life-long goal.

My parents, in-laws, and extended family. For leading by example in work ethic and

scholarly pursuit.

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Table of Contents

Chapter 1: Introduction

Introduction .................................................................................................4

Statement of the Problem to be Researched ...............................................4

Purpose and Significance of the Problem ...................................................4

Research Questions Focused on Solutions Finding ....................................7

Conceptual Framework ...............................................................................8

Researcher’s Stances...............................................................................8

Conceptual Framework...........................................................................9

Definitions of Terms.............................................................................11

Significance of the Study...........................................................................11

Assumptions, Limitations, Delimitations .................................................12

Summary....................................................................................................13

Chapter 2: Review of Literature

Instruction to the Problem .........................................................................15

Professional Development.........................................................................15

Adult Learners .....................................................................................18

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Instructor-led Training...........................................................................................27

Online Learning, Collaborative, and Social Learning..........................27

Connectivism: A Theory for 21st Century Learning .................................30

Massive Open Online Courses ..................................................................40

What is a MOOC? ..............................................................................42

Studies ................................................................................................47

Autonomous Learning ........................................................................47

Conceptual Framework..............................................................................47

Literature Review Summary......................................................................47

Chapter 3: Methodology

Introduction ...............................................................................................50

Research Design and Rationale ................................................................56

Site and Population....................................................................................57

Population Description .......................................................................59

Site Description ..................................................................................63

Research Methods .....................................................................................66

Surveys ...............................................................................................63

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Observation ...........................................................................................................63

Statistical Data ...................................................................................63

Site Description .....................................................................................................63

Site Description .....................................................................................................63

Conclusion.................................................................................................68

4. References.........................................................................................................69

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Chapter 1: Introduction

Introduction to the Research

In the 20th century, the United States created the world’s wealthiest nation through the

innovation of products and services. Today, innovation in the United States is under pressure

from emerging countries rushing to build wealth in their respective countries (U.S. Department

of Labor, 2012). Organizations in the United States need to foster employee skill development to

keep up with national and international market competitors in the areas of innovation and

creativity. Therefore, employee competence at continuous learning is becoming increasingly

important in organizations (Maurer & Weiss, 2009). The issue is that employee preferences for

training delivery do not reflect the current delivery options (SHRM, 2008) because students’

learning increasingly takes place across various information technologies, external of traditional

classrooms (Dunaway, 2011). Consequently, employers need to reimagine their current training

and development strategies to account for 21st century learners.

This mixed methods case study will examine the impact of a Connectivist Massive Open

Online Course (MOOC) in the training and development of professional staff at a large private

research university. The increased notoriety of MOOCs as a model for 21st century learning

escalates the need for rigorous research into the model. Currently, there is no case study looking

at the use of a Connectivist MOOC as a training delivery model for internal organizational

learning.

The researcher hopes to provide a first look at how offering of a MOOC as a format for

the training and development of faculty and staff provides numerous benefits to the individual,

group, and institution. In doing so, this study looks to influence current training and delivery

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formats being offered by human resource professionals and managers. The research method for

this study is a mixed methods design. The primary sources of data are interviews, observation,

and test scores.

This chapter provides the background and context of the situation, a statement of the

problem, the purpose and significance of this study, and research questions. The chapter

concludes with the conceptual framework, the definitions of the terms used in this paper, the

researcher’s assumptions, and limitations and delimitations of this study.

Statement of the Problem to be Researched

The topic of this study is Massive Open Online Courses (MOOC) as a format for

professional staff development. Siemens and Downes of Athabasca University ran the first

MOOC in 2008. Starting in the beginning of 2012, the concept of MOOC exploded onto the

education scene causing a race among organizations to get to market. While the term MOOC is

an acronym clearly defined, the structure of MOOC continues to be defined in different ways by

individual organizations.

MOOCs provide an additional format to current training and development offerings.

MOOC is the testing ground for the theory of Connectivism. Connectivism offers a new learning

theory for a digital age, with four key principles for learning: autonomy, connectedness,

diversity, and openness (Tschofen & Mackness, 2012). The introduction of this new theory into

staff training and development is an attempt to address the study’s research problem, which is

that the United States is losing ground in innovation, therefore a new model for the development

of professional staff must be made available to human resource professionals.

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The United States experienced the most innovative period in its history in the 20th century

(U.S. Department of Commerce, 2012). For example, during this time the country created an

information technology and a biotech sector. This transformed the standard of living for the

people in this country. As America grew, countries like China and Brazil started to function in

the open market creating great wealth. Today, a recent survey found that the majority of

American’s agreeing that the United States in losing its edge in innovation (U.S. Department of

Commerce, 2012). What possible steps can be taken to combat the global competitiveness?

In September of 2009, President Obama outlined a strategy for American innovation,

which has since been updated. In this strategy, he states that America’s future growth and

competitiveness depends on the capacity to be innovative and creative (White House, 2011).

What he is referring to is the economy, which is made up of products and services created by

individuals working in business. Therefore, it is important to recognize the criticalness of the

training and development of individuals working in business as the future economic driver. This

makes human resource professionals an important factor in the future of economic growth

because of their influence on organizational learning.

One of the 2013 trends in training and development is a renewed call for the

improvement of employee skills in critical thinking and creativity, which echoes President

Obama’s call (SHRM, 2012). With this goal of developing a competitive workforce, we must

find the most effective and efficient method for employee training and development.

There are many options for employers seeking to develop employee skills and abilities.

Some include: e-learning, coaching, and shadowing. Do these formats actually provide an

effective and efficient way to develop creativity and innovation in an organizational setting?

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To develop employee creative thinking and product innovation, training and development

programs must account for employee wants and learning styles. According to a 2008 Society for

Human Resource Development (SHRM) report, a major challenge for human resource

professionals is the selection of professional development formats (SHRM, 2008). This same

report shows that more than half of employees participate in professional development, but those

employee preferences for training and development delivery are not being met. Therefore,

human resource professionals need to be presented with new models to accommodate for

employee preferences, which will help resolve selection challenges and attempt to increase

employee satisfaction.

Current and future models of training delivery must account for adult education theory.

Adult learners have different intrinsic motivation than childhood learners (Merriam et al., 2007).

Therefore, it is critical to identify and utilize their motivations in the development of new

delivery models. Knowles (1966) theory of Andragogy is the most widely accepted model for

adult education (Holton, Swanson, Naquin, 2008). The theory contains six principles of adult

education: need to know, self-directed, foundation, orientation, full potential, and internal

motivation (Knowles et al., 1998). These principles, in addition to other adult education learning

theories such as McClusky’s Theory of Margin, Jarvis’s Learning Model, and Illeris’s Three

Dimensions of learning (Snyder, 2009; Merriam et al., 2007) need to align with the training and

delivery methods to produce effective and efficient outcomes.

In addition to alignment with adult learning theory, training and development delivery

formats must take into account employee satisfaction. Current research shows instructor-led

training, one of the most widely used formats (CIPD, 2013; Vadivelu & Klein, 2011), does not

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generate high levels of employee satisfaction (Berger, Topp, Davis, Jones, & Stewart, 2009; Sun,

Tsai, Finger, Chen, & Yeh, 2008).

Behaviorism, Cognitivism, and Constructivism are theories that were developed prior to

the technology advances of today, and are the most widely used in the construction of

instructional activity (Siemens, 2005). Thus, it is important to recognize the need for a new

learning theory based on 21st century learners. This recognition will allow for the development of

new systems of learning attempting to solve the issue of innovation in the United States and

selection issues for human resource professionals.

Connectivism is a learning theory underpinned by previous learning theory with an

integration of technology. Additional concepts not included in previous models are chaos and

complexity theory, which are often found in the hard sciences. This new theory contains adult

education principles postulated by the major theorists, including Malcolm Knowles. Further,

current research in professional development shows that flexibility, perceived usefulness, self-

regulation, and self-direction are key components in online learning (Berger, Topp, Davis, Jones,

& Stewart, 2009; Sun, Tsai, Finger, Chen, & Yeh, 2008; Brydges et al., 2012), which are also

fundamental to Connectivism.

The most common expression of Connectivism is MOOCs. Current studies show that

MOOC compliments the shift in learning to the knowledge era (deWaard et al., (2011) and that

students are easily able to shift into a networked learning model (Hogg and Lomicky, 2012). In

addition, autonomy was a major feature of MOOC (Hogg and Lomicky, 2012; Kop, 2011),

which aligns with the fundamentals of adult education theory.

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The need for the economy (businesses and individuals) to innovate provides an

opportunity to investigate the current training and develop practices of employees working in

organizations and propose solutions for current challenges.

Purpose and Significance of the Problem

The purpose of this mixed methods study is to identify an effective approach to

maximizing employee training and development program outcomes at a large urban research

university in the Northeast. Currently, the United States is falling behind other emerging

countries in innovation (U.S. Department of Commerce, 2012). In addition, human resource

professionals are not able to effectively identify professional training formats for employees

(SHRM, 2008). Consequently, employees participating in professional development are not

satisfied with the current offerings.

Students’ learning increasingly takes place across various information technologies,

external to traditional classrooms (Dunaway, 2011). This change in learning demands the

evaluation of new formats for the training and development of creativity and innovation. Thus,

employers need to deploy effective training options for 21st century learners centered on adult

education theory and learner wants and needs.

Current research shows that online training produces the same, or better, outcomes as

face-to-face learning (Yeung, Okamoto, Soar, and Perkins, 2011; Dimeff et al, 2009; Larson and

Sung, 2009; Yang & Lin, 2011), which is highly practiced as a method for training and

development (CIPD, 2013; Vadivelu & Klein, 2011). Hence, human resource professionals need

to focus on what methods are available for learner effectiveness and satisfaction.

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The study is significant to the organization being studied because it will provide human

resource professionals a case study to determine what the best practices are for training and

development. Furthermore, the study will inform human resource professionals at this institution

on this new model for learning. The study looks to fill a gap in the literature on the use of a

Connectivist MOOC for staff professional development. To this point there has been no study

that looks at the use of a Connectivist MOOC specifically for staff professional development.

Therefore, there is no data to support this model’s efficacy in this situation, making it difficult

for colleges and universities to integrate this method of training delivery into a strategic

professional development plan. Essentially, the study results can improve workplace

development efforts for this study’s site.

Research Questions Focused on Solutions Finding

This researcher’s hypothesis is that a Connectivist MOOC addresses employee learning

needs (adult education theory) and is a more effective approach for professional development

than its face-to-face counterpart. The study looks to answer the following research questions:

1. How does student performance learning outcomes compare between a face-to-face

workshop and a Connectivist MOOC?

2. In what ways does community based online instruction, a Connectivist perspective,

enhance faculty and staff training and development?

Conceptual Framework

The setting, the researcher’s philosophical stance, the researcher’s assumptions,

background and experience with the problem, and theories, drives the conceptual framework of

this research study. Hybrid and online learning for-credit courses and programs have been

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offered at the university since 1999. The integration of these formats into training and

development has only recently been accepted practice. Hence, the presentation of MOOC to

training and development will be the first complex networked learning format offering to staff by

the university administration.

Researcher’s stances. The researcher’s philosophical stance aligns with the pragmatist

paradigm. This paradigm provides the flexibility for the use of different research methods in a

single study. Pragmatists have made a compromise on the long-standing arguments of the purist

only researchers. Thus, the researcher looks to utilize all methods of research available to address

the problem statement.

Looking at the research topic through the lens of pragmatism, the researcher has

identified a belief that knowledge comes from the experiences of life and we should embrace

learning events in all forms. Four critical assumptions about adult learners emerged: knowledge

can be enhanced through different pedagogical approaches to learning; adult learners are capable

of participating in a self-directed complex environment; autonomous learning is a preference of

adults; adults seek learning experiences because of a need.

The researcher has nine years of experience in online and hybrid learning in middle

management positions in organizations. In addition, the researcher has been teaching as an online

adjunct since 2007. These experiences have the ability to lead to research bias, due to potential

perceptions about adult learners and personal pedagogical preferences. With that said, the

researcher will use a triangulation approach to data collection. Further, the researcher will

identify a qualified colleague to conduct certain aspects of the study.

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Conceptual framework. Two existing theories frame this research study. Malcolm

Knowles’s theory of andragogy provides a structured explanation of how adults learn. This

theory is the most widely recognized theory in adult education. Second is Connectivism,

developed by George Siemens in 2005. His theory provides a framework to address 21st century

learners. This theory is relatively new and has a number of vocal critics. The researcher believes

that focusing on these two theories to create a learning framework will provide adults high

quality learning experiences.

Figure 1. Conceptual Framework

Hybrid and online learning for-credit courses and programs have been offered at

Goodwin College since 2000. The integration of these formats into training and development has

not occurred during that time period. Hence, the presentation of MOOC to training and

development will be the first online distributed learning format offering to staff by the college

administration.

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The researcher has great experience in the area of distance education. The researcher’s

work focuses heavily on the development of learning portals, which provides a solid knowledge

base of tools and strategies that drive the distance education experience. In addition, the

researcher has a master’s degree in adult education and worked in career training and

professional development settings using face-to-face, hybrid, and online as delivery methods.

In order to better understand if MOOC is an effective model for training and

development, the researcher will enlist two groups of participants. The first group will

experience a traditional face-to-face course, while the second will participate in the massive open

online course. Content for both courses will be identical, but the delivery mode will be different.

In both groups a pre and post electronic survey will be distributed to collect information about

staff attitudes toward training and development. The researcher will also observe the courses for

participation frequency. Lastly, an exam will be issued to both groups at the end of the course.

The exam scores will be used to conduct statistical analysis looking for any correlation between

test scores and method of delivery.

Definition of Terms

MOOC is a Massive Open Online Course where the participants and course materials are

distributed across the web.

In this study, Network Information Technology is the systems that provide access to

information across the Internet.

In this study, innovation is taking a new idea for a product or service and producing a

result.

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Learning Paradigms are models of the way people learn. An example is Constructivism.

Twenty first century learning is learner driven. This style of learning involves a high

level of digital literacy skills centered on critical thinking, re-mixing and aggregating content,

problem solving, and collaboration.

Hybrid Learning is a learning model where some of the course takes place online and

some in person.

Assumptions, Limitations, Delimitations

The first assumption is that non-digital natives, those not growing up with technology,

will not fully engage in the MOOC. They will have a more negative attitude toward the training

method than their demographic counterparts in the face-to-face course. Therefore, they will have

lower test scores than those people with the same demographics participating in the face-to-face

course. A second assumption is that employees growing up in the technological age will

participate heavily in the MOOC, have higher test scores, and a better attitude than their

demographic counterparts in the face-to-face course.

One limitation that exists is the current make up of the staff at Goodwin College. There

are more employees who grew up without technology than have grown up with it. Moreover, the

participant age range may not record across all segments and may not reach adequate sample size

levels. Therefore, it could be hard to make generalizations based on this study for some age

groups. A second limitation is the commitment of the participants to engage fully in the courses.

Busy personal and professional lives can cause missed time, which influences the quality of the

study results.

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The main delimitation of the study is that the majority of participants will have advanced

degrees, making the study hard to generalize to non higher education organizations. This is

because the organization participating in this study resides in the higher education sector. The

sector typically values degrees more in the hiring process than private business.

Summary

This chapter provided an introduction to one of the most critical issues with the United

States economy today, innovation. It explained how current employee training and development

practices, which are needed to drive innovation, are not meeting employee needs. The researcher

provides the hypothesis that a Connectivist MOOC is an alternative to current training and

delivery formats that contains the major principles of adult education and 21st century learning.

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Chapter 2: Review of Literature

Introduction to the Problem

As stated in chapter one, the purpose of this mixed methods study is to identify a more

effective and efficient approach to faculty and staff training and development programs at a large

research university. This researcher’s hypothesis is that a Connectivist MOOC is a more

effective and efficient method for professional development of faculty and staff than its face-to-

face counterpart. The literature review was conducted to place this study in the existing body of

knowledge and to identify the need for the study. The researcher recognizes a limited amount of

research is available on MOOCs, and no studies have been conducted using MOOC as a

framework for professional development in an organization. This study will examine the use of a

Connectivist MOOC as a pedagogical format for training delivery. The study looks to answer the

following research questions:

1. How does student performance learning outcomes compare between a face-to-face

workshop and a Connectivist MOOC?

2. In what ways does community based online instruction, a Connectivist perspective,

enhance faculty and staff training and development?

This review of the literature will focus on three themes to justify the need for this research study

and to show how the study will add significantly to the field. The three themes are:

1. Professional Development.

2. Connectivism: A Theory for 21st Century Learning.

3. Massive Open Online Courses (MOOCs).

The first section of this chapter will look at the most widely used models for professional

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development in the context of learning and student satisfaction. In addition, the author will

present relevant adult learning theory to gain a perspective of the learner characteristics before

looking at the research evidence. This section compares and contrasts the different formats to

show the efficacy of the presented models. Absent from the literature is the comparison between

MOOCs and other delivery models. For this study’s purposes generic online learning will be

used to compare against other models because absent is research on massive open online courses.

The second section of this chapter will look at how previous learning theory underpinned

the development of Connectivisim and show the need for this new learning theory in 21st century

training and development practice. It is important to understand the context of how new learning

theory is developed to justify its validity. Kerr identified two purposes for the development of a

new theory: it replaces older theories that have become inferior, and the new theory builds on

older theories without discarding them, because new developments have occurred which the

older theories no longer explain (Kop & Hill, 2008). The Connectivist perspective builds upon

traditional behaviorist, cognitivist-constructivist, and humanist theories of learning making it

important to get a sense of these three theories (Dunaway, 2011). The relatively recent

theoretical accounts of Connectivism (Siemens, 2005, 2006) and connective knowledge

(Downes, 2006) as ways to understand and explore learning in the networked digital age are

timely and particularly useful, both in what they offer and what they question (Bell, 2011).

The third section of this chapter will show the pedagogical perspective of how MOOCs,

which are the testing ground for Connectivism, provide an effective and efficient platform for

21st century learning. Research evidence will make the case for the addition on this model to

current training and development offerings. Current research shows that the way adults learn

(Andragogy) aligns to the theory of Connectivism and Connectivist MOOCs.

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Professional Development

One of the challenges for human resources professionals is the selection of professional

development formats based around the employee wants and needs (SHRM, 2008). Organizations

have many different options for staff training and development programs. This workforce

training is important to equip workers with skills required in the knowledge era, which include

critical thinking and adaptability (Panagiotakopoulos, 2011). A 2008 Society for Human

Resources Development (SHRM) survey showed that nearly half of employees participate in

professional development programming (SHRM, 2008). However, the report goes on to state that

employee preferences for training delivery do reflect the current delivery options, which include

coaching, instructor-led, and knowledge sharing events as the primary methods. How do we

know the traditional training methods being offered to employees are effective models? Do we

need a new model for 21st century training and development?

Adult Learners. Adults have different intrinsic motivations to learn than childhood learners

(Merriam et al., 2007). Therefore, it is important to provide context to the adult learner before

looking at the research data. Before we get into the current training and delivery practices, we

must first take a look at adult education and adult learners, specifically some of the main

theories, which guide adult education practice: Knowles Theory of Andragogy, McClusky’s

Theory of Margin, Jarvis’s Learning Model, and Illeris’s Three Dimensions of learning (Snyder,

2009; Merriam et al., 2007).

Malcolm Knowle’s theory of Andragogy (1966) has stood as the main model for adult

learning (Holton, Swanson, Naquin, 2008). Today, there are six principles of Andragogy

(Knowles et al., 1998). The principles are:

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1. Adults need to know why they need to learn something before the event, activity, or class

(Need to Know).

2. Adults have a self-concept that aligns with a self-directed learning style (Self-Directed).

3. Prior life experience enhances learning situations (Foundation).

4. Adults are ready to learn when presented with a life situation or they need to complete a

task (Orientation).

5. Adults are life-centered and education is the method for reaching full potential.

6. Adult motivation is internal, rather than external (Motivation).

McClusky’s Theory of Margin states that the dramatic changes occurring during post-

adolescence force adults to constantly seek balance between the amount of energy needed and

the amount available (Merriam & Caffarella, 1999). The balancing act is visualized as a ratio

between the load of life, which disperses energy, and the power of life, which allows us as

individuals to deal with the load. For example, daily tasks (load) reduce our ability to participate

in learning activity. By streamlining we can add to our life power. Therefore, the more power

one has the more available and likely to participate in learning.

Jarvis’s Learning Model theorizes that all learning begins with the five human sensations of

sound, sight, smell, taste, and touch. Thus, that learning ultimately dependents on our biology

(Merriam & Caffarella, 1999). This learning perspective is a focus on the individual’s internal

world not externally. As depicted in figure 1.1, Jarvis’s model begins with an experience that is

not immediately recognizable. Instantaneously the learner brings in life experiences in an attempt

to make sense of the sensation. The learner then experiences emotions, which can create different

types of learning.

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Figure 1.1. The Transformation of the Person Through Experience. Jarvis, 2006.

Illeris’s Three Dimensions of learning focuses on the external relationship of the learner

to the environment and the internal acquisition process. This focus is expressed through the

dimensions of cognition, emotion, and society. The vertical line in figure 1.2 below shows the

external environment, while the horizontal line depicts the individual, or internal.

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Figure 1.2. The Process of Learning. Illeris, 2002.

According to the author, the cognitive dimension is comprised of knowledge and skills and the

emotion dimension involves feelings and motivation, both of which are internal learning

activities. External interaction is the final dimension, which involves people in the learning

process. Illeris believes that learning starts with the one of five stimuli. The five stimuli are:

perception;

transmission;

experience;

imitation;

activity or participation.

The author’s model is similar to Jarvis’s five senses piece of his learning model.

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All four models presented above have overarching themes relating to the training and

development of adults in the workplace, specifically the self-directed nature of adult education,

learner experience, and a focus on task. The models, assumptions, and principles of adult

education theory inform the training and development of adults in an organizational setting and

are critical to the context of this study.

Instructor-led training. Instructor-led training is highly practiced when compared to other

available formats (CIPD, 2013; Vadivelu & Klein, 2011). Further, the levels of instructor-led

training from 2003 (71.97%) to 2008 (70.58%), according to SHRM, remained relatively

unchanged during that time period (Carliner, 2009). This suggests a continued high level of

usage moving forward. Is the continued use of this model the best solution for organizational

training needs?

Yeung, Okamoto, Soar, and Perkins (2011) conducted a systematic literature review

consisting of 172 references of which 18 studies were deemed significant. The researcher’s

compared and contrasted the effectiveness of alternative training methods to an instructor-led

format, which is typically found in basic life support development models. The study found that

there is evidence to support the use of self-directed learning, lay instructors, and brief training.

Further, that no single method for training and development provided evidence of superiority of

the others. Consequently, organizations working in skill development should tailor delivery

options to address learner needs identified in current adult education models and satisfaction

research.

Berger, Topp, Davis, Jones, & Stewart (2009) compared three types of instruction, face-

to-face, web-based training (WBT), and a mix of both, on patient education through mandatory

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continuing professional development training. Researchers analyzed 3000 staff member

proficiency exams and satisfaction surveys. Results show that WBT was as effective as the two

other methods of delivery for competency scores. This supports other research findings about

learning outcomes (Yeung, Okamoto, Soar, and Perkins, 2011). Participants overwhelming

registered for this format due to the flexibility it offered in self-pacing and the 24/7 access. The

data shows that when given the opportunity, employees will select alternatives to face-to-face

sessions.

Dimeff et al (2009) evaluated the efficacy of three training methods for staff skill

development: manual, interactive multimedia online (OLT), and a two-day instructor-led face-to-

face workshop. Results of the study indicate that interactive online training outperforms

instructor-led face-to-face workshops in skills training, which contrasts other research findings

(Yeung, Okamoto, Soar, and Perkins, 2011; Berger, Topp, Davis, Jones, & Stewart, 2009).

Further, participant data shows that students in the OLT needed to reference materials less than

those in the face-to-face training when using newly learned skills. The conclusion drawn from

this data is a higher level of learning for those students taking the online version of the training.

In contrast to previous research (Berger et al, 2009), participants were equally satisfied with the

two training options.

Brydges et al. (2012) used an experimental design to evaluate the effectiveness of

instructor-led learning and self-directed learning. Results from the experimental and control

group found that self-directed learners (SDL) were able to retain more information than their

counterparts three months or more after the training conclusion. The research suggests that active

learning, such as self-directed, should be implemented into medical residency formats for the

long-term retention of critical medical information. Implications for employee training and

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development are that critical information for performance can be facilitated through self-

directed, active learning models. This research study on Connectivist MOOC proposes exactly

what the author’s suggest in their conclusions.

The majority of research shows that instructor-led learning is not more effective than

online learning outcomes. In addition, participant preferences trend toward alternatives to

instructor-led training workshops. Current human resource practitioners need to take into account

student performance measures in the different formats, along with format preferences to make

informed decisions about offering options.

Coaching. Coaching is the art of facilitating the performance, learning and development of

another (Downey, 2003). Coaching is just one form of professional development, which attempts

to bridge the gap between training and the workplace (Taie, 2011). This technique has been

adopted as one of the main formats used by employers (SHRM, 2008).

Longenecker (2010) explored the issue of workplace coaching using a survey design to

identify practices to improve this form of training and development. According the survey results

of more than 219 managers, they find the practice to be beneficial to employee success in the

workplace. In addition, the main challenge managers’ face is time constraints related to the

coaching process, such as providing feedback. 74% of managers believe not enough feedback is

given to improve performance, which is consistent with other research findings (Berg & Karlsen,

2012). Findings to improve the model consisted of a customized coaching approach based on the

individual employee and that employee motivation plays a large role in the effectiveness of this

model.

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Tai (2012) hypothesized that coaching would improve the retention of new skills.

According to the research findings, the coaching model had positive quantitative impact on

scores, based on data analyzed from the assessment tool. This conclusion shows that when a

coaching program is introduced it has an immediate impact on information retention. This

finding confirms the claim by managers in Longenecker’s (2010) study, that coaching improves

employee success in the workplace and confirms additional research on the effectiveness of

coaching (Ellinger, 2003; Hagen, 2012; Hamlin et al., 2006).

Hagen (2012) reviewed the literature to gain insight into how the introduction of

coaching into the managerial process affects the organizational goals and results. The current

research shows the positive impact of coaching on strategy and organization, while she does note

a lack of empirical research on individual and organizational outcomes. As a consequence, there

is no way to definitively state this strategy works to improve these outcomes. To cement

coaching’s place in training and development, the author suggests quazi-experimental and

experimental research should be conducted to determine the models efficacy.

The Chartered Institute of Personal Development (CIPD) conducted survey research of

talent development specialists in the United Kingdom looking for data on current and future

trends. Findings from 1,004 respondents show that coaching is moving down the ranking as one

of the more effective methods for delivery (2013, CIPD). Moving forward the report looks for

coaching to integrate more fully with organizational development and performance management.

In addition, online learning has gained momentum as a preferred format.

It is clear from the research that coaching does provide positive benefits to the workplace,

but also has its drawbacks. A Connectivist MOOC provides networked learning where many

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people can provide insight around different topics. In essence, many people can become mentors

at different times. In this study, the management can work together to provide timely mentoring

as a group instead of individuals. This will assist the issue of time constraints.

Online learning, collaborative, and social learning. E-learning is one of the most commonly

used methods for learning and talent development (CIPD, 2013) and is growing when compared

to other delivery methods in organizational settings. In formal higher education settings, 6.7

million students are taking online courses (Babson Research, 2013). For this study, the efficacy

of online learning is critically important to making the case for using a Connectivist MOOC,

which is primarily online asynchronous learning.

Larson and Sung (2009) compared face-to-face, hybrid, and fully online modes of

instruction to determine if there is a significant difference in performance outcomes. The study

analyzed variance of the test score data to determine performance outcomes. In addition,

observational data from class discussion informs student satisfaction. The study found that there

is no significant difference in student performance between the different modes of instruction.

Furthermore, since there are no differences between the formats other variables, such as course

design, interaction, and motivation may play an important role in learning outcomes more so

than delivery.

Santhanam, Sasidharan, and Webster (2008) used experimental research to test the

hypothesis that early introduction to self-directed learning strategies will increase performance in

an online website development college course. Test results show that interventions to induce

learners into self-directed strategy led to better learning outcomes. Additionally, results show

that levels of self-regulated learning are evident in adults, but e-learning requires a higher level

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of self-regulated learning. Therefore, when designing and developing e-learning environments

for adults, an intervention practice must accompany the design. Adult education theory,

described earlier in this chapter, states that learners have a self-concept. Therefore, designers

must be cognizant of assisting adult learners in reaching the goal of self-directed learning.

Johnson, Hornik, and Salas (2008) investigated the role of social presence, interaction,

and the perceived usefulness of distance education courses. Data was collected from a single

course of 371 participants using perception surveys and interaction data from the learning

management system. Findings show that social presence does play an important factor in e-

learning success. Social presence, in this context, is the ability for users to create and share in an

environment for learning to emerge. Consequently, according to this research, educators should

focus on the inclusion of social learning into the online environment for better learning

outcomes. This research has important implications for online training and development, namely

that the traditional practice of online learning needs to adapt to include an environment of social

sharing and connectivity, proposed in the Connectivist model.

Yang & Lin (2011) examined the effect of online learning on employee learning

achievement through a quazi-experimental research design. In addition, the study sought to

investigate student satisfaction with online learning. Findings from this study show that learning

achievement was similar in the experimental online group to the face-to-face control group.

Additionally, the results yielded no significant satisfaction difference between the two groups.

Sun, Tsai, Finger, Chen, & Yeh (2008) examined the critical factors influencing learner

satisfaction in e-learning through survey and interviewing. Results from this study show that

computer anxiety, instructor attitude toward e-learning, course quality, perceived usefulness,

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ease of use, and diversity in assessment are the critical factors for success in e-learning. In

addition, participants view flexibility as an important factor in satisfaction. Confidence stands

out as a factor potentially inhibiting course satisfaction. Additional confidence in technology will

provide a better learning experience. Lastly, this research provides insight for institutions

participating in training and development seven areas to focus improvement efforts. This

research supports other studies, which show the importance of flexibility for learner satisfaction

(Berger, Topp, Davis, Jones, & Stewart, 2009).

Ho and Dzeng (2010) tested the effectiveness of e-learning in construction safety and

gaged student satisfaction with this model of delivery. This mixed method study used numerous

data collection techniques including: survey, observation, interviews, and tests. Study results

found that the e-learning mode improves learning effectiveness. In addition, because time is tight

in the construction field, independent learning and repeated learning are necessary for safety

training. Further, that learner satisfaction increases performance. Therefore, the main

implications from the study are that meeting the learners’ needs creates satisfaction, which will

affect the safety practices of employees.

Ke (2010) conducted a mixed methods case study, which examined the nature of

teaching, cognitive, and social presence created by students and instructors. Study results

through observation, artifacts, discussion analysis, and surveys found that instructional design

and some pedagogical preferences are critical prerequisites for adult online learning success.

Teaching presence emerged as one of the critical success factors in adult online learning, which

further supports the literature (Johnson, Hornik, and Salas, 2008). One substantial difference is

the mention of teaching presence to foster community development, which is more aligned with

the Connectivist principles and the adult learning principle of self-directed learning. Additional

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findings suggest that learner satisfaction is tied to having a sense of community. Furthermore,

that adults feeling a sense of community experienced a deeper level of learning. Implications

from this study suggest that open course facilitators need to focus on developing a sense of

community through their own social presence in the learning environment.

Research shows that in certain situations e-learning outperforms instructor-led learning.

Therefore, it is critical to understand the specific training situation in order to provided a high-

quality experience. Evidence suggests that social learning plays an important factor in learning

success. Consequently, instructional systems designers need to include the ability for social

connection and creation into learning environments.

Connectivism: A Theory for 21st Century Learning

It is critical to gain a general understanding of the underpinnings of Connectivism to

validate the model, therefore justifying its use in this study. Behaviorism, cognitivism, and

constructivism are the three broad learning theories most often utilized in the creation of

instructional environments (Siemens, 2005). These three theories developed during a time period

that lacked the technology seen today. Therefore, it is important to propose a new theory for

today’s environment.

The behaviorist theory focuses on external observation and the relationship between

those stimuli and responses that follow (Boghossian, 2006). Knowledge does not depend on

reflection; in fact knowledge is mainly unknowable. What constitutes valid knowledge is

publically observable, and as such, behaviorists believe that the concept of mental states can be

discarded (Freiberg, 1999). Behaviorist theory is a direct contrast to the constructivist learning

theory discussed below.

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According to Cognitivist theories, learning is viewed as making symbolic, mental

constructions involving active mental processing on the part of the learner (Semple, 2000). The

mental processing can be compared to the way computers process and store information for

recall. As we move from behaviorist theory into cognitivist theory, it is relevant to note the

change from focusing on behavior only to the mental processing of data and looking within.

Finally, constructivist theory is based on the fundamental assumption that people create

knowledge from the interaction between their existing knowledge or beliefs and the new ideas or

situations they encounter (Airasian & Walsh, 1997). In education, the theory can be described as

students’ constructing their own learning organically. The theory is widely used in the

development of lesson planning in k-12 environments and higher education curriculum

development.

Kopp and Hill (2008) pose the question do they (the three theories) still meet the needs of

today’s learners, and anticipate the needs of learners of the future? Or, does developments in

digital technology create the need for a new model, which encompasses technology into learning

theory? Siemens points out that a central tent of most learning theories is the focus on the

individual. Consequently, these theories do not take into account the formal and informal social

learning spaces on the Internet today. Behlol and Dad (2010) confirm Siemens point in saying

that Connectivism presents a model that recognizes the shifts in society where learning is no

longer an internal or an individualistic activity.

Connectivism is a framework for understanding learning (Dunaway, 2011). Furthermore,

the Connectivist model posits that learning takes place when learners make connections between

ideas located throughout their personal learning networks, which are composed of numerous

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information resources and technologies. This study will create the space for personal learning

networks to occur within an organizational setting.

It is important to identify a working definition for learning. Driscoll (2000) defines

learning as “a persisting change in human performance or performance potential…[which] must

come about as a result of the learner’s experience and interaction with the world”. This definition

of learning associates well with Connectivism because of its focus on interaction in the world.

Connectivism is based on eight principles (Siemens, 2005):

1. Learning and knowledge rest in diversity of opinions.

2. Learning is a process of connecting specialized nodes or information sources.

3. Learning may reside in non-human appliances.

4. Capacity to know more is more critical than what is currently known.

5. Nurturing and maintaining connections is needed to facilitate continual learning.

6. Ability to see connections between fields, ideas, and concepts is a core skill.

7. Currency (accurate, up-to-date knowledge) is the intent of all Connectivist learning

activities.

8. Decision-making is itself a learning process. Choosing what to learn and the meaning

of incoming information is seen through the lens of a shifting reality. While there is a

right answer now, it may be wrong tomorrow due to alterations in the information

climate affecting the decision.

The principles of Connectivism are not limited to the online environment (Boitshwarelo, 2011).

However, in this research study the principles will be tested through a massive open online

course.

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The core principles of Connectivism lead to four main activities to enhance learning. The

first, aggregation, is the ability to compile resources from the web into a collection. The second

activity is relation. Relation is bringing in personal experience to the situation through self-

reflection. The third is creation. Creation is the learner developing content through available web

technology such as blogs, podcasts and wikis. Finally, sharing allows participants to contribute to

their personal learning networks. Later in this chapter the four activities will be illustrated

through the MOOC framework.

Musawi (2011) states that Connectivism, a theory based on that knowledge exists in the

world rather than in the head of an individual, integrates previous learning theories (i.e.

behaviorism, cognitivism, and constructivism), social development, and technology to construct

a new learning theory for the digital age. It is important to add that the principles and foundation

of connectivism, while based primarily on the three major theories, also utilize principles from

complexity theory and chaos theory.

Complexity theory is a theory of change, evolution and adaptation, often in the interests of

survival, and often through a combination of cooperation and competition (Morrison, 2006). The

key tenets of the theory are the holistic, non-linear approach. These concepts are not traditionally

found in educational system archetypes, such as behaviorism, but are found in the theory

connectivism.

Chaos theory, developed by Gleick in 1987, started in the sciences and has recently started to

play a role in education. The word chaos is associated with randomness, non-deterministic and

irregular occurrences. Chaos theory attempts to understand the behavior of systems that do not

unfold in a linearly predictable, conventional cause-and-effect manner over time. When viewed

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as a whole, these systems manifest definite patterns and structures (Murphy, 1996). Within

education, the theory touches on the concepts of non-linear and organic learning.

Siemens (2004) characterizes connectivism as a successor to behaviorism, cognitivism, and

constructivism, which is not without criticism. Some of the major criticisms come from the

definition of what is a learning theory provided earlier in this chapter. For example, Kopp and

Hill (2008) state that connectivism does not have a large enough body of empirical research to

support its hypothesis. Additionally, that connectivism is still in its philosophical stages due to

the lack of educational studies. With that said, some researchers have identified connectivism as

a pedagogy rather than a learning theory.

Verhagen (2006) sees connectivism as pedagogy rather than a theory because learners are

continuing to learn in the same manner as before, they are just adapting to the technology.

Likewise, Farkas (2012) calls connectivism a recent pedagogical theory. The researcher is not

interesting in making a case either way in this study, but is merely interested in stating that

criticisms do exist in the research arena on the definition of connectivism. In this study, the

researcher will be using the framework as a pedagogical model for learning.

Massive Open Online Courses

Massive Open Online Courses provide a high quality option for teaching and learning, as

studies below will show. As previously stated by Tschofen and Mackness (2012), MOOCs are

the testing ground for the theory of Connectivism and is the experimental teaching method for

this study. This section introduces the reader to massive open online courses and discusses the

current research through the lens of adult learners.

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What is a MOOC? A MOOC is an online course or event that is open, which to allows for

maximum registration. Anyone can start a MOOC because of the wide availability of web 2.0

technologies. MOOCs can run in wikis, blogs, open learning management systems like Moodle,

or on custom platforms. The main requirement for the platform is the ability to create a network

around a shared topic.

Participants in the MOOC are expected to openly share their expertise, knowledge,

understanding, and ideas, so that knowledge is not only freely distributed across the network, but

also created within the network (Tschofen & Mackness, 2012). The resources come together

from all over the Internet. This makes digital literacy an important capacity for learners due to

the volume of information available on the web.

Inge deWaard et al. (2011) states that self-organization, openness of information flow,

freedom, interconnectedness and collective emergence is all found in MOOCs. Participants’ self-

organize content into categories causing interconnectedness of users. In order for this to be

effective users must participate in resource generation. In addition, Kop (2011) points out that for

MOOCs to be effective people must be able to:

1. Direct their learning.

2. Have the ability to negotiate the web.

3. Be confident and competent in using communication tools.

Studies. The first MOOC course was conducted in 2008, led by Siemens and Downes. Since that

time, few significant studies have been conducted due to the recent emergence of the model.

Fini (2009) examined adults’ attitudes towards networked learning in the CCK08 MOOC.

Study findings showed that participants didn’t care about completing the course and chose easy

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methods for communication. In addition, many of the tool options were pushed aside for more

traditional communication methods. Study limitations included the low number of survey

responses and limited profiles. MOOC retention rates have been a negative focus in publications,

and were an issue within this study. Future research should focus on improving retention rates.

Currently, limited data exists on why participants drop out of MOOCs.

McAuley, Stewart, Siemens, & Cormier (2010) examined the hypothesis that prosperity

depends on a digital system to create wealth. Study findings show that MOOCs embody digital

systems because of their open and co-creative nature. Hence, MOOCs need to be a primary

source of investment for the future of wealth creation in a knowledge-based society. Study

limitations included a gap in significant research. The qualitative data from this study suggests

that there is currently no way to judge the economic impact of MOOCs. Therefore, the business

model at this time does not add to the GDP in real dollars, making it hard to quantify the

economic impact on the macro economy. At the micro level, the development of skills can

provide the potential for career advancement affected family income.

deWaard et al., (2011) examined the hypothesis that the Connectivist massive open

online course (MOOC) format will help to analyze chaos, complexity, and emergence at work in

transforming educational systems. Study findings revealed that MOOCs compliment the shift in

learning to a knowledge era due to advances in social media, computing, and new technologies,

which provides a possible tool for educational enrichment. Furthermore, the technology

integration gave way to an emergence in activities and dialogue. Study limitations included the

limited literature on chaos theory in education and the effects of rapid innovation in technology

on the development of an effective framework to study. Currently, there is no accepted model for

the development and facilitation of massive open online courses. Advances in technology will

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make the identification of a defined complex system difficult. Therefore, models will continue to

evolve and adapt with technology.

Hogg and Lomicky (2012) used an exploratory factor analysis on data collected from 465

post-secondary students in an online course, to identify the four levels of Connectivist theory

(Openness, Diversity, Autonomy, Interactivity) developed by Steven Downes. Study findings

revealed that autonomy and openness were factors in the course, but that other characteristics

had lower levels of presence. In addition, the study found that students were able to easily shift

into a student-centered, or networked model of learning. A negative point of the study is that

instructors failed to engage with students in the online environment, which is cited in a number

of studies as a student complaint (Hogg & Lomicky, 2012; Kop, 2011). Study limitations

included the methodology not aligning with the Connectivist model and the use of convenience

sampling, which may not represent the population. A critical finding of the study is a high

participant comfort level with networked learning, which conflicts with findings from Fini

(2009).

Kop (2011) conducted a mixed methods study on the MOOC course titled PLENK,

which investigated three critical aspects of Connectivist pedagogy including: participant

autonomy, presence, and literacy, in an effort to understand the significance of these variables on

learner success. Study findings revealed that these variables indeed are required for success in

Connectivist MOOC environments. In addition, the study found that the social presence of the

instructor is meaningful to learner engagement and social connectedness. Study limitations

included time constraints on the evaluation of large amounts of quantitative and qualitative data.

This study confirms what other data points to and that is the importance of instructor

participation in MOOC environments (Hogg & Lomicky, 2012). In addition, that digital literacy

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plays a key part of learner success. Future MOOC models need to include these critical aspects

into the learning environment design phase to reach higher learning outcomes and student

satisfaction. Further research needs to be conducted on the efficacy of content creation.

Cowan, Neil, & Winter (2013) investigated faculty instructional trends when moving

from face-to-face to online courses through the lens of Connectivist principles, through surveys,

focus groups, and individual interviews. Study findings revealed that learners in virtual

environments did not use synchronous tools, which in part is due to convenience considerations,

which supports other research findings (Fini, 2009). Study limitations included a small sample

size making the results not generalizable. The implications of this study suggest that limiting the

number of tools available in MOOCs will result in a clearer framework for participants.

Therefore, existing models need to be revised to include streamlining tool sets. Further research

needs to be conducted to include a large sample size.

Mackness, Mak, & Williams (2010) explored the perspectives of learners in the MOOC

CCK08 course through surveys and interviews, focusing on the four Connectivist principles

developed by Downes. Study finding revealed that a defined instructor intervention policy might

be necessary even through networked open learning relies heavily on autonomy. Furthermore,

that complex learning networks may reach the goals of the Connectivist principles, but a course

will provide complications and compromises. This study echoes other data, which shows the

difficulty of reaching high levels of success in all four principles of Connectivism (Hogg and

Lomicky, 2012). Study limitations included a small sample size, which demands a larger

research sample size to confirm the study results. The implications of this study suggest that a

course framework is not the ideal setting for a Connectivist experience. Future research needs to

focus on Connectivism in a complex learning network.

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Kop, Fournier, & Mak (2011) examined how developing technologies, such as MOOCs,

could influence the designs of online learning environments. The researchers used a mixed

methods methodology relying on a variety of data collection techniques such as tracking,

surveying, and virtual ethnography. Study findings show that meaningful learning will occur if

social and teaching presence is part of the learning environment design. In addition, the more

experiences with networked learning (MOOCs) the higher the level of participation. One critical

piece of the research is the idea of confidence. When individuals are technically confident they

are willing to create artifacts. In contrast, participants are likely to just consume when they don’t

understand a topic or the technology.

The limited research on massive open online courses shows the importance of instructor

involvement in the course, which is in direct conflict with the adult learning principle of

autonomy. In addition, adults are able to confidently utilize networked learning as part of

learning design. With the rapid changes in technology, it will be difficult to advance an accepted

Connectivist MOOC model. Models will continually change to adapt to new technological

innovation making it difficult for human resource professionals and trainers to produce courses

centered on Connectivist principles. Instructional designers will become necessary in this

emerging environment.

Autonomous Learning (Self-directed learning). One of the four core structures of

Connectivism is autonomy. Self-directed learning is about individuals taking responsibility for

their own learning. Individuals select content, manage activities, and pursue their own course,

which is influenced by adult learning principles Knowles’s espouses. It is important to

understand how self-directed learning plays a role in current learning practice to justify its

relevance in advancing new models for learning which might include this strategy.

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Bear (2012) used a descriptive research design to describe adult learning strategies using

an online auction website. A sample of 380 Ebay users completed surveys about their learning

experiences. The study found that the participant experience supports the four core assumptions

defined in Knowle’s (1980) andragogy model. The first assumption validated in this study is the

concept of adults needing to know. In this case, adults explored the auction website before any

task was completed. The second assumption is the self-concept. This concept shows adult

learners inner desire to move from dependency to self-determined, which was reflected in the

data analysis. The third assumption is the role of previous experience. Adults bring a lifetime of

experience to the situation, which enhances their experience. The final assumption is a readiness

to learn. This is connected to the learners’ stage in life. The Ebay process had great relevance to

participants in this study. Therefore, it enhanced the learning experience.

The four assumptions provided in the Knowles (1980) model, provides a framework for

adult learning relevant to the concept of self-directed learning. Further, that adult intrinsic

learning styles align with the autonomous, or self-directed learning model. With that said, this is

a critical area for adult learning and needs to be incorporated into training and development

formats moving forward.

Galbraith, Quinney, and Smith (2010) examined a technology challenge course for

librarians through the lens of andragogy and self-directed learning. Survey results found that a

self-directed approach fosters technical skill development for adult participants. In addition, that

this format supports life-long learning in an effective and efficient way. Participants felt that

continuous learning added to their job satisfaction and confidence levels. Implications for this

study include the support of Knowle’s model of adult education and the efficacy of the self-

directed learning approach.

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Nefdt, Koegel, Singer, and Gerber (2012) evaluated 27 parents in a self-directed learning

program to see if behavior changed in parents of kids with autism. Results from questionnaires,

observation, and a parenting stress index found that the introduction of self-directed learning

materials increased parent confidence, therefore learner language ability, as demonstrated

through observation. This study supports the efficacy of self-directed learning as a model for

adult learning. Implications for this study include an effective method for early intervention into

skill acquisition, which is relevant for on boarding into new work positions.

Artis, Boyer, and Edmonson (2012) conducted a meta-analysis on 36 educational studies

through the lens of five educational constructs: academic performance, aspiration, curiosity,

creativity, and life satisfaction. The average age of participants across studies was 33.4 years.

The research found that higher levels of participation in self-directed learning are associated with

higher levels of all five educational constructs. Looking at Knowles model of adult learners, it is

understood that these five educational constructs are similar to adult’s fundamental learning

needs. Consequently, self-directed learning has the ability to positively effect adult learning.

Conceptual Framework

Based on the literature review, a conceptual framework for developing 21-century learning skills

was designed.

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Figure 1.3. A Model for 21st Century Learning. Rodriguez, 2013.

Literature Review Summary

Connectivism is a theory for the digital age, where networked learning is meaningful and

practiced by 21st century learners. Behaviorist, cognitivist and constructivist theories provide the

foundation for Connectivist theory, making it a viable alternative. In addition, the theory is

influenced by chaos and complexity theories, which have only recently emerged in the field of

education. Scholars have not agreed on whether Connectivism is a learning theory or a teaching

model due to a lack of academic studies and time considerations.

Employees in organizations currently seek alternative methods for training and

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development to the traditional instructor-led methods. Research evidence supports the notion that

online education provides the same, if not better, learning outcomes than its instructor-led

counterpart. Furthermore, that the flexibility and autonomous learning found in current online

learning practice aligns with some principles of adult education theories. The Connectivist

model, presented in this chapter, provides additional principles to enhance online learning and

the 21st century learner.

Massive online open courses (MOOCs) are the testing ground for the theory of

Connectivism. Limited research exists on MOOCs. Current studies show many effective aspects

of MOOCs for adult learning and the alignment to adult education principles, found in Knowles

Theory of Andragogy. While challenges exist, as identified in current studies, obstacles can be

overcome through the development of a complex system built on sound adult education and

Connectivist principles. Out of these limited studies there is no study where a MOOC is

presented as an organizational training model for professional development. This study will

employ the conceptual framework presented in figure 1.2 as a model for employee training and

development.

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Chapter 3: Research Methodology

Introduction

The purpose of this study is to identify an effective process for 21st century training and

development programming centered on innovation and creativity. The researcher has selected a

mixed methods study. Mixed methods research applies both quantitative and qualitative methods

in an effort to gain a more complete picture of the research problem.

The research questions consist of both quantitative and qualitative types due to the

selection of a mixed methods approach, as stated in chapter 1 and above. The research questions

are:

1. How does student performance learning outcomes compare between a face-to-face

workshop and a Connectivist MOOC?

2. In what ways does community based online instruction, a Connectivist perspective,

enhance faculty and staff training and development?

This chapter will describe the methodology for conducting this research study through the

focus on two main areas the research design and rationale and the site and population.

Research Design and Rationale

The researcher will utilize a mixed methods research approach for this study. Mixed

methods research has been described as a “third movement” in the evolution of research

methodology (Tashakkori & Teddlie, 2003). While there is not universal agreement on a

definition for mixed methods (Thomas, 2003; Johnson & Onwuegbuzie, 2004), the working

definition for this study is a procedure for collecting, analyzing, and mixing qualitative and

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quantitative research methods into a single study (Cresswell, 2008). This method improves the

research because different approaches have both strengths and weaknesses (Johnson &

Christensen, 2008).

The mixed methods design that best fits this study is Triangulation. This design, shown in

figure 1.1 below, allows for the collection of both quantitative and qualitative data at the same

time. Then, the researcher can analyze the data separately and comparing the different sets

looking for supporting or contradicting evidence. Therefore, the design provides the flexibility

and features the researcher needs to answer the research questions.

For the quantitative part, the researcher will use a quazi-experimental design. This design

allows for testing two different methods of training and development in a controlled

environment. For the qualitative part, the researcher will use a case study approach. Creswell

(2008) describes case study as a study conducted within a bounded system. The researcher will

use a single site to collect research data.

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Figure 1.1 – Triangulation

Site and Population

Population description. The population to be studied, as mentioned in the introduction

to this chapter, is the faculty, staff, and administration at a large urban research university in the

Northeast. The study’s population consists of approximately 4800 people working full-time at

the university. Individuals have diverse educational backgrounds ranging from high school

diploma to Ph.D. The population consists of ethic diversity across all colleges and schools. Staff,

faculty, and administrative salaries range from 30k to 350k per year. The population of this study

is limited to this single university site.

A representative sample will be selected from the 4800 employees at the university. The

researcher will use a sampling technique known as stratified sampling, which is a type of

probability sampling. Teddlie and Yu (2007) identify this technique as one of five sampling

strategies that can be used effectively in mixed methods research. This technique allows the

researcher to gain a representative sample of the population. The researcher will break the

population into categories, also called strata, according to the characteristics, such as age and

gender. Then, the researcher will randomly select from those categories the participants into the

study. The estimated sample size is one hundred and fifty people.

Site Description. The university is located in a major urban setting in the Northeastern

part of the United States operating a main campus and a number of satellites around the country.

In addition, the university is a national leader in online education. The university boats a top 100

ranking from U.S. News and World Report and is one of the premier employers in the region

having a robust future economic outlook for students, staff, and facility.

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The university hosts more than 20,000 students in more than 70 undergraduate degrees

and 100 graduate degrees. The majority of students come from the United States, but the

university has seen recent growth in international applications because of a targeted marketing

approach in China and other international locations.

Site Access. There are a number of site considerations for the researcher to take into

account. Some were mitigated because the researcher is doing a backyard research study, a study

of the researcher’s current employer. The first consideration is building access. The researcher

will be provided access to an on-site office. Access to the site, when needed, will be made

available through the facilities building manager. A schedule will be provided for the entire

study in order to secure space. This creates a situation where the participants do not need to

travel in order participate in the initial interview or attend the face-to-face sessions. This also

provides an added convenience to the researcher because of close proximity to participants,

offices, and additional facilities.

The second consideration is access to the population. Managers of the participants need

to be informed of the study in advance of employees receiving invitations. This will involve a

face-to-face meeting between the researcher and managers. The researcher will use a lay

summary to describe the study to the managers. The summary is meant for selected participants,

but it contains information that would be beneficial to the management. Once agreements are

reached formal invitations can be sent out to the arranged participants.

The third consideration about the site is cost. Financial feasibility of the study is

especially important when operating in a low budget situation. In this study the cost of

participant travel, facilities, participants, food, and equipment is all being donated in kind by the

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college. The relationship between the researcher and college administration has played a part in

the ease of setup.

Research Methods

Data collection methods. The following three methods will be used to obtain data in this study:

surveys – pre and post surveys;

Observation – online and in-person;

Statistical data – exam.

Surveys. Surveys are used to describe attitudes, opinions, behaviors or characteristics of a

population (Creswell, 2008). The researcher will use a cross sectional design, which collects

information from the population at a certain point in time. This particular study looks to capture

the attitudes, beliefs, and opinions of the sample population through a pre-survey and a post-

survey.

Surveys will be sent to participants electronically by email. The researcher’s workplace

has made available Survey Monkey, which allows for the rapid collection of data. In the first part

of the survey the researcher will be collecting background information for classification

purposes, such as age, gender, technology experience, and online class experience. The second

part of the survey presents questions on attitudes about online learning. The estimated time to

complete the pre and post survey is 30 minutes, barring any technical issues.

This study looks to collect the attitudes of the participants on online learning. The

researcher has identified a type of instrument for the collection of attitude called Semantic

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Differential (SD) Scaling. This scaling technique elicits participant stimulation through the

selection of bipolar adjectives at either end of a rating scale.

The researcher will utilize the test-retest method, which is one of the five reliability forms

presented by Creswell (2008). This allows the researcher to review the results from both surveys

looking for a high correlation for each individual. In essence, a high correlation will confirm the

reliability of the survey instrument.

Observation. Observation is watching the behavior of people to look for patterns to

obtain information about the phenomenon, or subject of the study (Johnson & Christensen,

2008). In this study the researcher will perform quantitative observation of the sample

population. Rationale for the selection of this type of method is the need for the collection of

participation frequency data. The data will be collected through video recording of the face-to-

face classes. In the online class, the data collection will come through manually gathering course

statistics.

Johnson and Christensen (2008) provide a list of what observational procedures need

standardized. Table 1.1 below provides a list of what needs standardized, according to Johnson

and Christensen, along with the researcher’s descriptive action plan.

Table 1

Observation Plan Table (Johnson and Christensen, 2008)

Procedural Questions Observational Procedures

Who is observed? Every single participant will be observed in the face-to-face and online settings.

What is observed?

In general, the participation of the participants in the course. Specifically participation means the frequency with which one interacts with the class, through speaking to a small or large group, adding content to the course

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(website links, blogs, and videos).When does the observation take place?

Every session of the face-to-face course will be video captured; meaning that the observation takes place each time the class meets. The online course data will be captured by the learning management system (LMS) for later researcher data analysis. In essence observation is occurring every time the student logs into the course.

Where does the observation take place?

The face-to-face course will be scheduled for the same classroom each time there is a session. The online course participation will occur through the same website and in the same LMS system for the four weeks.

How are the observations to be done?

The face-to-face course will be recorded each time a session is held. The online course will record all course statistics through the LMS tools available to the instructor and administrator.

Quantitative observation instruments are usually more detailed than a qualitative

instrument; this is due to the confirmatory nature of the quantitative paradigm, or model

(Johnson & Christensen, 2008). A number of instruments fall under quantitative observation. For

instance, Sullivan and Glance (2009) provide four types of instruments:

categorical frequency;

performance indicator;

visual diagraming;

tailored.

In this study, the researcher will use a categorical frequency instrument called the Student

On-task and Off-task behaviors instrument, developed by Glickman, C. D., Gordon, S. P., &

Ross-Gordon, J. M. (2007). The researcher will ask permission from the authors’ via email to

adapt the instrument to fit this study. This instrument will define behaviors that can be checked

in short intervals as they occur.

Statistical data - exam. The researcher will use an achievement test, which is designed

to measure the degree of learning that has taken place (Johnson & Christensen, 2008).

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The instructor will issue a test to the students. Next, the instructor will collect the test at

the end of a one-hour period. Finally, the tests will be mailed to the researcher for data analysis.

The names on the test will be coded before the researcher receives the exams.

The exam instrument will consist of a standardized achievement test along with a

teacher-constructed test. The rationale for merging two different types of tests into one exam is

because reliability can’t be easily proven on an instructor created test. In contrast, standardized

tests can conform, through data, reliability. At this time the research has not selected the

standardized instrument.

Data . The following section presents the data analysis procedures.

Table 2

Data Collection Analysis Table

Research Questions Data Collection Method Data Analysis Tools

Qualitative Survey, Observation Descriptive Survey

Monkey

Quantitative Exam, Survey, Observation Central Tendency,

Standard Deviation,

Variance

Excel

Quantitative Data. The quantitative data in this study will be presented using descriptive

statistics. The raw data produced from the test scores and participation rates will be inserted into

Microsoft Excel to produce the following tables and graphs:

measures of central tendency (mean, median, mode);

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frequency table (gender, test score, age);

Variance and standard deviation;

To explore if a relationship exists between two variables, the researcher will use a

correlational statistical analysis. In this analysis, the researcher will predict the outcome of the

relationship between two variables and will then collect and analyze data to inform the research

hypothesis. In this study, the researcher will correlate, or compare, the following variables:

Age/test scores;

Age/participation;

Age/attitude;

Qualitative Data. Creswell’s (2006) six-step qualitative analysis model will facilitate the

qualitative data collection. The six steps are:

1. Organization of the collected data.

2. Reading of the collected data.

3. Coding of the collected data.

4. Describing the collected data.

5. Representing the collected data.

6. Interpreting the collected data.

Stages of Data Collection.

InvitationPhase ISummer 2013

Invite to survey Send email invitation to the population to be studied. Conduct follow up phone calls.

Stages of Data CollectionPhase IIMarch 2014

Pre-survey Sent out to sample population

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April 2014 Online and face-to-face courses (4 weeks)

Observation takes place, test is administered.

Data AnalysisPhase IIIApril 2014

Post-survey Sent out to sample population

May 2014 Data analysis Analyze dataChapter 4 Write results chapter of

dissertationSummer 2014 Defend Defend dissertation

Pilot Study – Instrumentation

The researcher will conduct a pilot study to test the instruments to be used in the larger

study. The pilot study will be conducted with five elementary school teachers working in an

urban Northeast setting. The first goal of the pilot is to test the instrumentation. The second goal

of the pilot is to test the proposed study procedures.

Pilot methods. The following methods were used for the pilot study:

A pre and post survey will be created to collect qualitative data on demographics,

learning experiences, professional training and development experiences, and perceptions about

organizational learning. This survey will contain open-ended and close-ended questions.

Participants will select from a multiple-choice list for demographic and characteristic questions.

Open-ended questions will allow participants to respond about their experiences in training and

development situations.

Once the course starts, the researcher will use observation as a method of data collection.

Because the pilot is online, the researcher will have the ability to collect data points through

asynchronous discussions. In addition, the researcher will be able to review participation

frequency through system tools.

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An exam will be administered at the end of the pilot to gage learning. This assessment

tool will be emailed to participants similarly to the surveys using Survey Monkey, software to

develop surveys and questionnaires. The exam will

Pilot data collection. Data from the pre and post surveys will be collected using Survey

Monkey. Participants will enter their responses via a link received over email from the

researcher. In addition, the researcher will collect observational data using analytical tools from

the course management system. Lastly, the researcher will administer a end of course exam. This

assessment will be collected using Survey Monkey.

Pilot data analysis. Quantitative data from the pilot will be analyzed using Microsoft

Excel. Qualitative data will be analyzed using NVidia to identify major themes.

Reliability and Validity Procedures

For this mixed methods study, the researcher will use multiple methods for data

collection, or triangulation, which will increase the study’s validity. Triangulation is traditionally

used in qualitative research to confirm validity because of the nature of the method. In addition,

the researcher’s professional background will provide creditability to the study.

To validate the quantitative aspects of the study, the researcher will use the content

validity methods. This effort is designed to provide empirical evidence that the instrumentation is

testing the intended behaviors so that inferences made from the scores are valid. There are four

main aspects to content validity domain definition, domain representation, domain relevance, and

appropriateness of the test construction process (Sireci, 1998). In addition to using this structure,

the researcher will use a subject matter expert to review test specifications and items to ensure

domain standards.

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The researcher will utilize the test-retest method, which is one of the five reliability forms

presented by Creswell (2008). Through this method, the researcher will look to examine the

consistency of the participant responses to the instrument.

Ethical Considerations

There are a number of ethical site considerations the researcher will take into account in

this study. Johnson and Christensen (2008) define six key items the American Education

Research Association (AERA) presents as ethical standards. They are:

Obtain informed consent.

Assent and dissent with minors.

Passive vs. active consent.

Deception.

Freedom to withdraw.

Confidentiality, anonymity, and privacy.

The researcher will use those six areas to inform the methodology.

Continuing with ethical requirements, the site requires that an Institutional Review Board

(IRB), which is made up of university faculty members, vet all research proposals. Their goal is

to protect the participants of the study. A clear detailed summary will be provided to the board in

order to gain access to the participants. The researcher will need to provide an informed consent

form to all participants in the study based on the IRB guidelines. The informed consent forms

will inform participants about the confidentiality of this research process. This step is secured

through making the participants anonymous to the researcher. Therefore, no names or identifying

information will be released about individuals participating in the study.

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Another consideration to mention is politics. Because the researcher is conducting a

backyard study, there exists the possibility that a gatekeeper requests from the researcher to

change the conclusion or recommendations. The investment in traditional forms of training and

development, the comfort level with existing programming, or not wanting the researcher to gain

prominence are a number of political issues the researcher could potentially face. These concerns

are not abnormal from typical organizational workings, but need to be monitored during and

after the study.

It is important for the researcher to clearly explain philosophical underpinnings that may

affect the study. The researcher believes in the mixing of quantitative and qualitative forms to be

in the interest of philosophical inquiry, a form of questioning knowledge. The weaknesses in

both forms of research can be improved through the mixing of paradigms. Taking a pluralist

position on research allows for scholars to work together on educational problems that one

researcher working alone might not be able to solve.

It is essential in a mixed methods study to select individuals who are representative of the

study but can also help explain the phenomena. The characteristics of the participants can

emerge as the study emerges. The existing, or developing, relationships between the researcher

and participants/gatekeepers, needs to be fostered throughout the study. These relationships will

make for smoother sailing throughout the process. Site considerations can be overcome with

effective planning and relationship building in order for the study to reach its full impact.

Lastly, the researcher has completed the Collaborative Institutional Training Initiative

(CITI) training on conducting ethical research. CITI is the premier organization providing

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training and development for educational researchers. This training, combined with doctoral

course work, ensures ethical practices are recognized and adhered to in this study’s design.

Summary

In summary, this chapter defined the research methodology for this study. The researcher

will use a mixed methods triangulation model to conduct the study at a large urban university in

the Northeast. The population consists of approximately five thousand employees. The

researcher will use a stratified sampling technique for the selection of participants into the study.

A pilot will precede the study to validate the instrumentation and refine the defined procedures.

Appendix A

Research Synopsis

Introduction

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According to a Society for Human Resources Management (2008) report, preferences for

training delivery do reflect the current delivery options. One of the challenges for human

resources professionals is the selection of professional development formats based around the

employee wants and needs (SHRM, 2008).

Statement of the Problem

Current training and development programs do not reflect employee preferences for

delivery mode. Therefore, human resource professionals are not maximizing training programs,

which will result in little movement in terms of innovation and creativity in the United States.

Purpose/Significance of the Problem

The purpose of this mixed methods study is to identify an effective approach to

maximizing training and development program outcomes at a large urban research university in

the Northeast. The study is significant to the organization because it presents a 21st century

learning model for human resource professionals, deans, and managers. To this point there has

been no study that looks at the use of a Connectivist MOOC specifically for staff professional

development. Therefore, there is no data to support this model’s efficacy, making it difficult for

colleges and universities to integrate this method of training delivery into a strategic professional

development plan.

Research Questions

This researcher’s hypothesis is that a Connectivist MOOC addresses employee learning

needs and is a more effective approach for professional development than its face-to-face

counterpart. The study looks to answer the following research questions:

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1. How does student performance learning outcomes compare between a face-to-face

workshop and a Connectivist MOOC?

2. In what ways does community based online instruction, a Connectivist perspective,

enhance faculty and staff training and development?

3. What are the participant perceptions about training and delivery formats?

4. What are the participant traits that allow for success in massive open online courses?

Coming into the study, the researcher holds the following assumptions:

Assumption Experience Values BeliefsKnowledge can be enhanced through different pedagogical approaches to learning

Teaching online and face-to-face has shown that students maintain different learning styles

Different formats of online learning provide high outcomes for adult learners

Each learner has a unique learning style

Adult learners are capable of participating in a self-directed complex environment

I have worked on research studies with faculty using complex systems where informal learning has taken place

Connectivism provides the theory to develop a complex environment for learning

Self-directed learning is deeper learning because of the nature of self-directed inquiry

Autonomous learning is a preference of adults

In my experience teaching I have seen this preference. For example, students will use the OWL APA website instead of asking the instructor for a lesson on APA

Autonomous learning events provide a way to enhance life and career.

Adult learners bring a lifetime of experience to the situation, which allows for confidence.

Adults seek learning experiences because of a need

When I need to complete a task I often turn to the Internet to find a video or text documentation to learn how to do something.

Improvement of life/career/health/relationships

Adults learn to try to reach career or personal milestones

It is critical to understand the researcher’s conceptual stance because it underpins the decision

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making process for this study.

Conceptual Stance

The researcher’s philosophical stance aligns with the pragmatist paradigm. This paradigm

provides the flexibility for the use of different research methods in a single study.

Pragmatists have made a compromise on the long-standing arguments of the purist only

researchers. Thus, the researcher looks to utilize all methods of research available to address

the problem statement.

Conceptual Framework

Figure 1. The Researcher’s conceptual framework.

Methodology

The researcher will utilize a mixed methods research approach for this study. While there

is not universal agreement on a definition for the mixed methods design (Thomas, 2003; Johnson

& Onwuegbuzie, 2004 ), the working definition for this study is a procedure for collecting,

analyzing, and mixing qualitative and quantitative research methods into a single study

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(Cresswell, 2008). This method improves research quality because of the strengths and

weaknesses found in pure qualitative and quantitative approaches (Johnson & Christensen,

2008), which gives the researcher the best chance to successfully answer the research questions.

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