Improving EFL students’ learning achievements and behaviors using a learning analytics-based e-book system

• 緒方, 広明

  Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology

• MAJUMDAR, Rwitajit

  Academic Center for Computing and Media Studies, Kyoto University

• HWANG, Gwo-Jen

  Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology

• LIN, Yi-Hsuan

  Department and Graduate Institute of English Language & Literature, Chinese Culture University

• AKÇAPINAR, Gökhan

  Department of Computer Education & Instructional Technology, Hacettepe University

• FLANAGAN, Brendan

  Academic Center for Computing and Media Studies, Kyoto University

• OGATA, Hiroaki

  Academic Center for Computing and Media Studies, Kyoto University

抄録

An e-book system allows students to access learning materials regardless of location or time. However, reading e-books without additional guidance could be inefficient for students and thereby affecting their learning engagement and learning outcomes. In this study, a learning analytics-based (LA) e-learning approach was proposed to resolve the situation. Moreover, experimental design methods were used to explore the relationship between the learning engagement, behavior, and achievement of students who learned with the LA e-learning approach. The research results show that the learning performance of high- engagement participants using the LA e-learning approach is better than that of low- engagement participants. In addition, the findings indicated that the proposed method could support low and medium learners to improve their learning achievement. These findings could be a valuable reference for those who intend to develop an effective learning analytics-based learning approach through e-book systems.

28th International Conference on Computers in Education, 23-27 November 2020, Web conference.

収録刊行物

• 28th International Conference on Computers in Education Conference Proceedings

  28th International Conference on Computers in Education Conference Proceedings 1 474-483, 2020-11-23

  Asia-Pacific Society for Computers in Education (APSCE)

キーワード

• E-book
• e-learning
• learning behavior
• learning engagement
• learning analytics

詳細情報

• CRID: 1050289321231754752
• NII論文ID: 120006940291
• HANDLE: 2433/259794
• 本文言語コード: en
• 資料種別: conference paper
• データソース種別:
  • IRDB
  • CiNii Articles
  • KAKEN