Predicting e-Learning Course Adaptability and Changes in Learning Preferences after Taking e-Learning Courses

被引:0
作者
Nishino, Kazunori [1 ]
Shimoda, Toshifumi [1 ]
Iribe, Yurie [1 ]
Mizuno, Shinji [1 ]
Aoki, Kumiko [1 ]
Fukumura, Yoshimi [1 ]
机构
[1] Kyushu Inst Technol, Fac Comp Sci & Syst Engn, Fukuoka 8208502, Japan
来源
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT II | 2010年 / 6277卷
关键词
e-learning; learning preferences; e-learning adaptability; asynchronous learning; multiple regression analysis;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As a result of investigation on learning preferences and e-learning course adaptability among the students of full online courses offered by a consortium of higher education institutions, it has been found that there is a relationship between the two factors (the preference for asynchronous learning and that for the use of computer) in the learning preferences and the e-learning course adaptability. In addition, it has been found that the learning preferences of a student may change after taking an e-learning course. Furthermore, it has been found that a multiple regression analysis of the learning preferences of a student at the beginning of an e-learning course can somewhat predict the adaptability of the course at the end.
引用
收藏
页码:143 / 152
页数:10
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