Abstract
Users in software world play key role in determining whether a software, including e-Learning system, has a long time of use or not. Past literatures have highlighted the importance of incorporating emotional requirement into software systems. It is important to consider what users need related to software. One of the critical component of a software systems that directly interacts with users is the interface. Users interface design (UID) could induce critical emotional experience and impression to users the first time they execute a software system. Kansei Engineering is adopted as a methodology to analyze users emotional experience towards the software UID. This research implemented a combination approach of Kansei Engineering and Analytic Hierarchy Process in order to analyze students’ emotional experience as users of e-Learning in higher learning institution, and then determines which of an open source e-Learning system that suits their positive emotional experience. This paper reports an attempt to discover the relationship between UID and users’ emotional experience in e-Learning systems. The research found that there were two critical students’ emotional factors, which are “clear” and “pleasant”. These two factors had a big impact in the selection of an e-Learning system, with factor of clear has larger impact. The research result then suggests the preferred e-Learning system for students based on those that evoked positive emotional experience to students. The result will benefit higher learning institution in promoting e-Learning, to extend the outreach potential of e-Learning among students.
Highlights
INTRODUCTIONE-Learning system in educational institution plays an important role in providing better learning environment over internet, because of its potential to support students’ learning activities and enhance their learning performance [1, 2]
E-Learning system in educational institution plays an important role in providing better learning environment over internet, because of its potential to support students’ learning activities and enhance their learning performance [1, 2].Today, abundance of open source and proprietary eLearning systems exist
Final Analytic Hierarchy Process (AHP) calculations of Kansei Words using online software AHP123 based on data in Table VII – Table XIV and Table IV are illustrated in Fig. 4 and Fig. 5 to show Kansei Words’ impact and to show the rank of each eLearning system respectively
Summary
E-Learning system in educational institution plays an important role in providing better learning environment over internet, because of its potential to support students’ learning activities and enhance their learning performance [1, 2]. It has become harder to determine which ones are appealing and bring positive experience to students., as positive experience appears to be the first phase to success of any electronic or online systems This hase forced educational institution to find the best mechanism to assess, analyze, and select the most suitable one/s to be implemented. It needs a decision method to determine the suitable e-Learning system for students based on their emotional feeling toward the eLearning system through its interface. This research attempted to apply Kansei Engineering into a decision support method of AHP in order to provide an education institution such as university to consider students’ emotional factors based on their learning experiences. The combination of AHP and Kansei Engineering could provide the best decision about what kind of e-Learning system must be implemented in supporting students’ activities. Considering students emotional factors as the fundamental factors on decision of e-Learning system, so the recommended e-Learning system would be used for long time
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