Predicting e-learning course adaptability and changes in learning preferences after taking e-learning courses

Authors:
Kazunori Nishino;Toshifumi Shimoda;Yurie Iribe;Shinji Mizuno;Kumiko Aoki;Yoshimi Fukumura
Affiliations:
Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Iizuka, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Iizuka, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Iizuka, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Iizuka, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Iizuka, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Iizuka, Fukuoka, Japan
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Year:
2010

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Abstract

As a result of investigation on learning preferences and e-learning course adaptability among the students of full online courses offered by a consortium of higher education institutions, it has been found that there is a relationship between the two factors (the preference for asynchronous learning and that for the use of computer) in the learning preferences and the e-learning course adaptability. In addition, it has been found that the learning preferences of a student may change after taking an e-learning course. Furthermore, it has been found that a multiple regression analysis of the learning preferences of a student at the beginning of an e-learning course can somewhat predict the adaptability of the course at the end.