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Issue title: Design of Intelligent Environment
Guest editors: Toyohide Watanebex and Lakhmi C. Jainy
Article type: Research Article
Authors: Nishino, Kazunoria; * | Iribe, Yurieb | Mizuno, Shinjic | Aoki, Kumikod | Fukumura, Yoshimie
Affiliations: [a] Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan | [b] Information and Media Center, Toyohashi University of Technology, 1-1 Hibarigaoka, Tempaku-cho, Toyohashi, Aichi, 440-8580, Japan | [c] Faculty of Information Science, Aichi Institute of Technology, 1247 Yachigusa, Yakusacho, Toyota, Aichi, 470-0392, Japan | [d] Center of ICT and Distance Education, The Open University of Japan, 2-11 Wakaba, Mihama, Chiba, 261-8586, Japan | [e] Center for e-Learning Research and Application, Nagaoka University of Technology, 1603-1 Kamitomioka, Nagaoka, Niigata, 940-2188, Japan | [x] Department of Systems and Social Informatics, Graduate School of Information Science, Nagoya University. Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan | [y] School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus, South Australia 5095, Australia
Correspondence: [*] Corresponding author. E-mail: [email protected]
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.
Keywords: Learning style, e-learning, course adaptability, asynchronous learning
DOI: 10.3233/IDT-2010-0088
Journal: Intelligent Decision Technologies, vol. 4, no. 4, pp. 269-276, 2010
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