An analysis of learning preferences and e-learning suitability for effective e-learning architecture

Authors:
Kazunori Nishino;Yurie Iribe;Shinji Mizuno;Kumiko Aoki;Yoshimi Fukumura
Affiliations:
Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, lizuka, Fukuoka, Japan;lnjormation and Media Center, Toyohashi University of Technology, Toyohashi, Aichi, Japan;Faculty of Information Science, Aichi Institute of Technology, Toyota, Aichi, Japan;Center of ICT and Distance Education, The Open University of Japan, Mihama, Chiba, Japan;Center for e-Learning Research and Application, Nagaoka University of Technology, Nagaoka, Niigata, Japan
Venue:
Intelligent Decision Technologies - Special issue on design of intelligent environment
Year:
2010

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Abstract

In this study, a questionnaire on learning preferences was administered to students who were enrolled in e-learning courses offered by the collaborative project among several higher education institutions and we extracted factors in learning preferences. A strong correlation between the factor loadings (the preference for asynchronous learning and the one for the use of ICT) and the adaptability to e-learning courses was found. As a result of multiple regression analyses, it was found that, to some extent, we could predict the student's adaptability to an e-learning course by measuring his/her preferences for asynchronous learning and the use of ICT. Furthermore, based on these analyses, the paper discusses an effective e-learning system that offers learning courses and learning objects that are suitable for particular students.