Name
Title | ||
|---|---|---|
An analysis of learning preferences and e-learning suitability for effective e-learning architecture |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.3233/IDT-2010-0088 | Intelligent Decision Technologies |
Keywords | Field | DocType |
effective e-learning architecture,e-learning course,e-learning suitability,collaborative project,strong correlation,higher education institution,factor loading,effective e-learning system,multiple regression analysis,particular student | Educational technology,Adaptability,Experiential learning,Collaborative learning,Computer science,Knowledge management,Synchronous learning,Asynchronous learning,Preference learning,Cooperative learning | Journal |
Volume | Issue | ISSN |
4 | 4 | 1872-4981 |
Citations | PageRank | References |
3 | 0.43 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazunori Nishino | 1 | 12 | 6.46 |
| Yurie Iribe | 2 | 38 | 14.77 |
| Shinji Mizuno | 3 | 792 | 153.37 |
| Kumiko Aoki | 4 | 60 | 7.62 |
| Yoshimi Fukumura | 5 | 39 | 12.74 |