Real-time learning analytics dashboard for students in online classes

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

4 被引用数 (Scopus)

抄録

In recent years, online classes have been increasingly conducted in various situations. However, in these classes, especially non-face-to-face and large-scale ones, it is more difficult for teachers and students to understand the status of the class during a lecture. To address this issue, we propose a real-time learning analytics dashboard that provides summarized information on teachers' instruction and students' learning activities during lectures. In this article, we introduce the real-time learning analytics dashboard and report its effectiveness through experiments in an online class at our university.

本文言語英語
ホスト出版物のタイトルProceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
編集者Hiroyuki Mitsuhara, Yoshiko Goda, Yutato Ohashi, Ma. Mercedes T. Rodrigo, Jun Shen, Neelakantam Venkatarayalu, Gary Wong, Masanori Yamada, Leon Chi-Un Lei
出版社Institute of Electrical and Electronics Engineers Inc.
ページ523-529
ページ数7
ISBN(電子版)9781728169422
DOI
出版ステータス出版済み - 12月 8 2020
イベント2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 - Virtual, Takamatsu, 日本
継続期間: 12月 8 202012月 11 2020

出版物シリーズ

名前Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020

会議

会議2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
国/地域日本
CityVirtual, Takamatsu
Period12/8/2012/11/20

!!!All Science Journal Classification (ASJC) codes

  • 工学(その他)
  • メディア記述
  • 教育

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