Inactive behavior analytics in on-site lectures

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

抄録

Detection of at-risk students is a fundamental issue in enhancing learning supports, and has been proposed based on students' learning activity in learning analytics. However, it is not clear which activity we should focus on to detect at-risk students such as low performance students. In this study, we proposed a clustering-based method for at-risk student detection based on three main clusters of students: inactive, passive, active students. Our method focused on reading behaviors and action behaviors in an e-book system. In addition, we consider which period of learning activities is effective for detecting at-risk students. The learning logs of 289 students of Cyber-Security course were collected for our analysis. In our comparison at different moment during the lecture, we found that the cluster of inactive students detected after 35 minutes of lecture got significant lower grades than other students, when the lecture was not too short nor too easy.

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708-713
ページ数6
ISBN(電子版)9781728169422
DOI
出版ステータス出版済み - 12 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 8 202012 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
Country日本
CityVirtual, Takamatsu
Period12/8/2012/11/20

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Media Technology
  • Education

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