Advertisement
Published in:
2010 | OriginalPaper | Chapter
Predicting e-Learning Course Adaptability and Changes in Learning Preferences after Taking e-Learning Courses
Authors : Kazunori Nishino, Toshifumi Shimoda, Yurie Iribe, Shinji Mizuno, Kumiko Aoki, Yoshimi Fukumura
Published in: Knowledge-Based and Intelligent Information and Engineering Systems
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.