Developing a method of recommending e-learning courses based on students' learning preferences

Authors:
Kazunori Nishino;Nanako Takata;Yurie Iribe;Shinji Mizuno;Kumiko Aoki;Yoshimi Fukumura
Affiliations:
Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Fukuoka, Japan;Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Fukuoka, Japan
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part III
Year:
2011

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Abstract

In designing e-learning, it is desirable that individual learner's learning style is considered. This study proposes a way to present the information about the expected adaptability of the course, in which a student wishes to enroll, based on the student's responses to the learning preference questionnaire administered at the beginning of the course. As the result of applying the real data to the model derived, it was confirmed that it would be possible to estimate the course adaptability before taking the course and to provide the information for the student to improve his/her course adaptability based on the student's responses to the learning preference questionnaire.