Authors: Kazunori Nishino; Yurie Iribe; Shinji Mizuno; Kumiko Aoki; Yoshimi Fukumura
Addresses: Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan. ' Information and Media Center, Toyohashi University of Technology, 1-1 Hibarigaoka, Tempaku-cho, Toyohashi, Aichi 441-8580, Japan. ' Faculty of Information Science, Aichi Institute of Technology, 1247 Yachigusa, Yakusa-cho, Toyota, Aichi 470-0392, Japan. ' Center of ICT and Distance Education, The Open University of Japan, 2-11 Wakaba, Mihama, Chiba 261-8586, Japan. ' Management and Information Systems Science, Nagaoka University of Technology, 1603-1 Kamitomioka-cho, Nagaoka, Niigata 940-2188, Japan
Abstract: It is expected nowadays to develop an e-learning system which provides the learning environment suitable for each individual learner's learning style. In this study, the authors developed a method to recommend courses that are suitable for a student. A student's course adaptability for a particular course can be estimated based on the result gained from a questionnaire which is conducted prior to the beginning of the course by using the multiple regression models that has been derived from the past students' data. The validity of the developed method was confirmed to some extent by applying the method to assess the student's course adaptability for each ourse. Furthermore, this paper explains the functions of the e-learning course recommendation system that can be added by using the method.
Keywords: e-learning; course recommendation systems; learning styles; course adaptability; multiple regression models; electronic learning; online learning; modelling; appropriate courses.
International Journal of Knowledge and Web Intelligence, 2012 Vol.3 No.1, pp.19 - 32
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 23 Jul 2012 *