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learning - Academic Conferences Limited

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Stella Lee et al.<br />

placing the initiative on the learners themselves and help them make aware of their own <strong>learning</strong> and<br />

in control of their <strong>learning</strong> paths. In fact, there has been no evidence in matching teaching to <strong>learning</strong><br />

styles as the best way to improve <strong>learning</strong>. Instead, there is an optimal way to teach chunk of content<br />

to all students(Pashler, McDaniel, Rohrer, & Bjork, 2008). In this study, our modeling approach is<br />

centred around a constructive cognitive model of <strong>learning</strong> (Liu & Matthews, 2005). This approach<br />

involves a model that helps make <strong>learning</strong> constructive while providing adaptive feedback to learners.<br />

As a result, an adaptive eLearning system has been designed that is task-based and support learners<br />

to self-direct their own <strong>learning</strong> paths by choosing the <strong>learning</strong> preferences (or <strong>learning</strong> modes as we<br />

called them) as they see fit. Additionally, contextually appropriate meta level skills (i.e. study skills)<br />

information and tools are provided along with the domain-level material. Adaptive feedback is<br />

provided at the end in the form of a self quiz to evaluate whether the learners have progress through<br />

their <strong>learning</strong> with adequate domain and meta knowledge.<br />

The domain we have chosen for this study is in computer science. Specifically, we are conducting our<br />

research study within an introductory Java programming course at a distance <strong>learning</strong> university in<br />

Canada. Two relevant educational theories: experiential <strong>learning</strong> theory (ELT) and self-regulated<br />

<strong>learning</strong> (SRL) have been selected as the underlining instructional design principles for this eLearning<br />

system. We will discuss more about these theories in Section 2. Section 3 will cover the planned<br />

research and the experimental design in details while Section 4 provides examples of the material we<br />

have redesigned to suit this <strong>learning</strong> approach. Finally we conclude with discussion and future work in<br />

Section 5.<br />

2. Background on the two educational theories used<br />

Two educational theories have emerged from authors’ experiences in designing eLearning models<br />

and reviewing relevant literature in <strong>learning</strong> preferences and online <strong>learning</strong> - the Experiential<br />

Learning Theory (ELT) and Self-Regulated Learning (SRL) theory. The fundamental ideas underlying<br />

the two theories are explained below.<br />

2.1 Experiential Learning Theory (ELT)<br />

Developed in the early 1970's by David Kolb, Experiential Learning Theory (ELT) emphasizes<br />

experience as the central focus in <strong>learning</strong>. Learning-styles theories(Coffield, Moseley, Hall, &<br />

Ecclestone, 2004) raised questions about what <strong>learning</strong> strategies we operate with and how we use<br />

<strong>learning</strong> strategies to enhance student <strong>learning</strong>. By studying these theories, one can also gain<br />

insights into what motivates learners and how to help them to understand more about their own<br />

strengths and weaknesses as learners. Kolb's model of <strong>learning</strong> styles could be represented as<br />

"flexible stable <strong>learning</strong> preferences"(Coffield et al., 2004) as ELT is not about fixed learner traits, but<br />

rather a "differential preference for <strong>learning</strong>, which changes slightly from situation to situation”. For<br />

instance, a student working in a group setting during a field trip for geo-caching might prefer to take a<br />

turn at hands-on interaction with the device even though he would normally prefer reading textual<br />

instruction at home alone. In his research, Kolb observed that some students have a definite<br />

preference for certain <strong>learning</strong> activities(Kolb, 1984). For example, one student might prefer reading<br />

lecture notes whilst another student might prefer working on an interactive simulation. “From this<br />

emerged the idea of an inventory that would identify these preferences by capturing individual<br />

<strong>learning</strong> differences.” (Kolb & Kolb, 2005)<br />

Figure 1 shows how a learner can progress through the experiential <strong>learning</strong> cycle: concrete<br />

experience (and new information acquired) is translated through reflection into concepts, which are in<br />

turn used as guides for active experimentation and the choice of new experiences. Kolb stated that a<br />

learner can begin the <strong>learning</strong> cycle at any one of the four modes, but that <strong>learning</strong> should be carried<br />

on as a continuous spiral. As a result, knowledge is constructed through the creative tension among<br />

the four modes and learners will be exposed to all aspects of <strong>learning</strong>: experiencing, reflecting,<br />

thinking and acting.<br />

Furthermore, there are four dominant <strong>learning</strong> styles that are associated with these modes:<br />

converging, diverging, assimilating and accommodating(Kolb, 1984).<br />

According to Kolb, the four <strong>learning</strong> styles are:<br />

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