Amira Fatiha, Baharudin and Noor Azida, Sahabudin and Adzhar, Kamaludin (2017) Behavioral Tracking in E-Learning by Using Learning Styles Approach. Indonesian Journal of Electrical Engineering and Computer Science, 8 (1). pp. 17-26. ISSN 2502-4752. (Published)
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Abstract
Currently, e-learning is becoming an option as it can save the cost of education, time, and more flexible in its implementation. The main problem that arises is how to create e-learning content that is interesting and really fit the needs of the users. One way that can be done to optimize the content of e-learning is to analyze the user behavior. This study aims to analyze user (student) behavior in KALAM UMP, based on logs report (activity history), which is often called as behavioral tracking. First, the learning style of the students is determined based on Honey and Mumford Learning Styles Model by using Learning Styles Questionnaire. The analysis is done using SPSS 16.0 for Windows. The results shows that student with Reflector and Theorist learning styles access e-learning materials the most. From Spearman Correlation analysis, the relationship between learning styles and students’ behavior in e-learning is found to be very weak (rs=.276, p=.000), but statistically significant (p<0.05). In other words, students’ learning styles and behavior in e-learning have significant impacts on the improvement or degradation of students’ performance. Therefore, from the results of this study, an adaptive KALAM e-learning system which can suits the learning styles of UMP students is proposed. In adaptive e-learning system, students can access learning materials that match the students' learning needs and preferences.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | E-Learning, LMS, Learning Styles, Log Data, Correlation, Behavioral Tracking |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 08 Aug 2018 02:21 |
| Last Modified: | 08 Aug 2018 02:21 |
| URI: | http://umpir.ump.edu.my/id/eprint/16452 |
| Download Statistic: | View Download Statistics |
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