An analysis of learning preferences and e-learning suitability for effective e-learning architecture

被引：2

作者：

Nishino, Kazunori ^{[1
]}

Iribe, Yurie ^{[2
]}

Mizuno, Shinji ^{[3
]}

Aoki, Kumiko ^{[4
]}

Fukumura, Yoshimi ^{[5
]}

机构：

[1] Kyushu Inst Technol, Fac Comp Sci & Syst Engn, 680-4 Kawazu, Iizuka, Fukuoka 8208502, Japan

[2] Toyohashi Univ Technol, Informat & Media Ctr, Toyohashi, Aichi 4408580, Japan

[3] Aichi Inst Technol, Fac Informat Sci, Toyota, Aichi 4700392, Japan

[4] Open Univ Japan, Ctr ICT & Distance Educ, Chiba 2618586, Japan

[5] Nagaoka Univ Technol, Ctr E Learning Res & Applicat, Nagaoka, Niigata 9402188, Japan

来源：

INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS | 2010年 / 4卷 / 04期

关键词：

Learning style; e-learning; course adaptability; asynchronous learning;

D O I：

10.3233/IDT-2010-0088

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, a questionnaire on learning preferences was administered to students who were enrolled in e-learning courses offered by the collaborative project among several higher education institutions and we extracted factors in learning preferences. A strong correlation between the factor loadings (the preference for asynchronous learning and the one for the use of ICT) and the adaptability to e-learning courses was found. As a result of multiple regression analyses, it was found that, to some extent, we could predict the student's adaptability to an e-learning course by measuring his/her preferences for asynchronous learning and the use of ICT. Furthermore, based on these analyses, the paper discusses an effective e-learning system that offers learning courses and learning objects that are suitable for particular students.

引用

页码：269 / 276

页数：8

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