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Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
抄録
In providing e-learning, it is desirable to build an environment that is suitable to the student’s learning style. In this study, using the questionnaire to measure the student’s preferences for asynchronous learning and the use of ICT in learning that has been develoed by authors, the relationship between the learning preferences of a student that have been measured before and after the course and his or her adaptability to the course is explored. The result of multiple regression analyses, excluding the changes in learning preferences that may occur duirng the course, shows that a student’s learning adaptability can be estimated to some extent based on his/her learning preference measured before the course starts. Based on this result, we propose a system to recommend e-learning courses that are suitable to a student before the student takes the courses.
雑誌名
Innovations in Intelligent Machines
巻
376
号
2
ページ
203 - 214
発行年
2012
出版者
Springer
ISSN
1860-949X
ISBN
978-3-642-23189-6
978-3-642-23190-2
DOI
info:doi/10.1007/978-3-642-23190-2_14
権利
Copyright (c) Springer-Verlag Berlin Heidelberg 2012
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-23190-2_14
The Proposal of the System That Recommends e-Learning Courses Matching the Learning Styles of the Learners
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