Learning analytics of the relationships among learning behaviors, learning performance, and motivation

Xuewang Geng, Yufan Xu, Li Chen, Hiroaki Ogata, Atsushi Shimada, Masanori Yamada

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

1 被引用数 (Scopus)

抄録

Previous research has established that motivation has a positive impact on the learning processes and behaviors [1] [2]. Learning analytics (LA) can play an important role in addressing the issue of collecting learning behaviors. In this study, we observed the teaching activities of three classes and examined the relationships among learning motivation, learning performance, and learning behaviors of students in digital learning material readers.

本文言語英語
ホスト出版物のタイトルProceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020
編集者Maiga Chang, Demetrios G Sampson, Ronghuai Huang, Danial Hooshyar, Nian-Shing Chen, Kinshuk Kinshuk, Margus Pedaste
出版社Institute of Electrical and Electronics Engineers Inc.
ページ161-163
ページ数3
ISBN(電子版)9781728160900
DOI
出版ステータス出版済み - 7 2020
イベント20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020 - Virtual, Online, エストニア
継続期間: 7 6 20207 9 2020

出版物シリーズ

名前Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020

会議

会議20th IEEE International Conference on Advanced Learning Technologies, ICALT 2020
Countryエストニア
CityVirtual, Online
Period7/6/207/9/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Education

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