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

页码：143 / 152

页数：10

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