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.