@article{oai:kyutech.repo.nii.ac.jp:00004938,
 author = {Nishino, Kazunori and 西野, 和典 and Shimoda,  Toshifumi and Iribe,  Yurie and Mizuno,  Shinji and Aoki,  Kumiko and Fukumura,  Yoshimi},
 issue = {2},
 journal = {Innovations in Intelligent Machines},
 month = {},
 note = {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.},
 pages = {203--214},
 title = {The Proposal of the System That Recommends e-Learning Courses Matching the Learning Styles of the Learners},
 volume = {376},
 year = {2012},
 yomi = {ニシノ, カズノリ}
}