Study about the aptitude-treatment interaction between learning using the e-learning system and learning type of learner

Ryo Sugawara, Shun Okuhara, Yoshikazu Sato

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The low completion rate of e-learning, which has been considered as a problem since its inception, is recently attracting renewed attention as a problem yet to be solved. This study confirms the assumption that the effect of e-learning varies with the learner’s learning type, and that a low e-learning completion rate results from the participation of learners who are unsuited to e-learning. It has been found that the differences between e-learning achievement rates can be classified into seven learning types. This suggests that e-learning may have little effect when the e-learning system does not match the learner's learning type.

Original languageEnglish
Pages (from-to)488-493
Number of pages6
JournalInternational Journal of Information and Education Technology
Volume10
Issue number7
DOIs
Publication statusPublished - Jul 2020

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Science Applications

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