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Volume Two - Academic Conferences

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Fauziah Redzuan et al.<br />

emotional state during a period of learning (Sandanayake and Madurapperuma 2009). Chen, Chuah<br />

and Teh (2010) also attempted to use KE in their study on instructional design.<br />

Many methods of KE exist, namely, KE Type I and Type II, Category Classification Method, KE<br />

System, Virtual KE System, and many more. For the purpose of this research, we selected KE Type II<br />

as being the method most suitable for this area of study, as identified by its research design.<br />

6. Proposed model<br />

This paper reports a brief description of the proposed research model. The chosen model is based on<br />

the principles of the Aptum model, highlighted by Hasle (2006) and interaction design. The Aptum<br />

model was chosen as it consists of elements that are strongly proposed for effective communication<br />

and is related to emotion. The interaction design also is included in the model, as from the literature it<br />

is an important element in learning. The Aptum model consists of the elements of the Orator (the<br />

speaker or instructor), the Scena (the audience or the receiver), the Res (the content), the Verba (the<br />

style or the form of presentation or interface), and the Situatio (the context). According to Hasle (2006)<br />

the Aptum model emphasises the balance between the elements, to achieve the apt. The more the<br />

balance, the better is the apt.<br />

However, the Aptum model is a general model, and adaptation is needed in order to discover the<br />

knowledge of how a specific combination of design elements affects emotional experience in<br />

eLearning environment. To enable this, KE methodology was adopted, as it has been successfully<br />

proven in discovering relations between emotion and design.<br />

Therefore, we argue that, based on the principles of Aptum model and interaction design, there is not<br />

one element that affects the positive emotional experience in learning, but rather a combination of<br />

elements that results in a positive emotional experience of the learners. The important elements<br />

extracted from the Aptum model are the interface, content, and context. For this experiment, the<br />

emotional experience based on the combination of interface, content, and interaction design were<br />

being evaluated.<br />

As far as the authors are aware, no other researchers have yet applied the principles of the Aptum<br />

model, interaction design, in combination with KE, to extract the design elements based on the<br />

emotional experience of the learners in online learning. For interested readers, who would like to read<br />

in detail about the proposed model, please refer to Redzuan et al (in press).<br />

7. Methodology<br />

To proceed with the research, we took several steps based on the KE technique. The KE Type II<br />

method based on (Nagamachi and Lokman 2011), is followed.<br />

Steps were adopted from the KE Type II (Phase 1), but were adapted specifically at the Extracting<br />

Item/Category step. Figure 1 shows in detail all of the steps adopted in this study using the KE Type II<br />

method. Section 7 (Methodology) and Section 8 (Analysis and Discussion) of the paper are related to<br />

Figure 1.<br />

7.1 Selecting survey target<br />

During the survey target selection phase, researchers began with the general problem, identified from<br />

the literature and then focused on the specific problem of the design of the learning material for<br />

courses in an eLearning environment. A short survey was administered to undergraduate university<br />

students in Information Technology and Network, at the Faculty of Computer and Mathematical<br />

Sciences to which the first author of this paper is affiliated. The survey was conducted in order to<br />

confirm that the problem in the design of learning materials is still relevant. Initially, 45 students were<br />

selected and surveyed to ascertain their opinions on which of five courses needed support for<br />

eLearning. The results are shown in Table 1.<br />

A comparison was made between the two groups. Both groups valued eLearning as important to<br />

course code ITS472 (Database course) so that they would be able to study at their own pace and<br />

time.<br />

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