Name
Title | ||
|---|---|---|
Predicting e-learning course adaptability and changes in learning preferences after taking e-learning courses |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15390-7_15 | KES (2) |
Keywords | Field | DocType |
e-learning course,e-learning course adaptability,higher education institution,full online course,multiple regression analysis | Adaptability,Experiential learning,E learning,Regression analysis,Computer science,Knowledge management,Asynchronous learning,Mathematics education,Preference learning,Cooperative learning,Higher education | Conference |
Volume | ISSN | ISBN |
6277 | 0302-9743 | 3-642-15389-5 |
Citations | PageRank | References |
2 | 0.41 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazunori Nishino | 1 | 12 | 6.46 |
| Toshifumi Shimoda | 2 | 2 | 0.41 |
| Yurie Iribe | 3 | 38 | 14.77 |
| Shinji Mizuno | 4 | 792 | 153.37 |
| Kumiko Aoki | 5 | 60 | 7.62 |
| Yoshimi Fukumura | 6 | 39 | 12.74 |