Exploratory Study on Correlations between Students' Characteristics and Effects in the Case of Online Learning on University Students

Ryo Sugawara, Shun Okuhara, Yuki Fukuyama, Yoshikazu Sato

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

The failure to ensure spontaneous e-learning may not, in fact, be due to structural problems in the e-learning system itself, but may rather be attributable to a gap between the instructional design of materials provided by e-learning and the learning characteristics (approaches to learning) of students. Learning of 'Low completion rate' has been brought up as one of the teething problems of e-learning. When one does e-learning is drawing great attention anew as a problem yet to be solved. In this research, we propose, put forward, test...the hypothesis. There could be students who are not suitable to e-learning because the learning effect of e-learning varies depending on the approaches to learning as a cause of poor completion rate of students and conducted verification of this hypothesis. Verification revealed that the task fulfillment rate of e-learning varies depending on the approaches to learning, which is divided into seven categories. Outcomes of our study suggest that e-learning can produce almost no learning effect when the approaches to learning do not match the suitable e-learning instructional design. This issue from results also seems to be relevant for highlighting: 'high placement test scores are relevant to the respective constant learning characteristics over the entire period of e-learning'.

本文言語英語
ホスト出版物のタイトル2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ720-722
ページ数3
ISBN(電子版)9781728149851
DOI
出版ステータス出版済み - 2 2020
イベント2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 - Fukuoka, 日本
継続期間: 2 19 20202 21 2020

出版物シリーズ

名前2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020

会議

会議2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
国/地域日本
CityFukuoka
Period2/19/202/21/20

All Science Journal Classification (ASJC) codes

  • 情報システムおよび情報管理
  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 信号処理

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