Analyzing Graduate Students' Behaviors of Self-regulated Learning in a Blended Learning Environment

研究成果: 書貢獻/報告類型會議貢獻

摘要

Previous studies have shown that learners' self-regulated learning in blended learning is closely related to their learning performance. However, it is unclear how self-regulated learners demonstrate their behaviors in blended learning environments. In this study, an academic reading and writing system was taken as a tool to collect graduate students' learning behaviors. The participants were the first-year graduate students, who took a blended course. In the course, they were required to read literature, do in/post-reading activities, take assessment and write essays in the system before classes every week. In order to further understand the behavior patterns of self-regulated graduate students, the participants were divided as high and low self-regulated learning group. The results showed that although both groups used similar times of system functions, they demonstrated different behavior patterns in terms of lag sequential analysis. Furthermore, the high self-regulated learners tended to look back at what they had done, and flexibly adjust their actions of reading and writing papers. On the contrary, instead of paper writing, the low self-regulated learners might treat tests as their goals and demonstrate simpler behavior patterns.

原文英語
主出版物標題Proceedings of the 2020 8th International Conference on Information and Education Technology, ICIET 2020
發行者Association for Computing Machinery, Inc
頁面53-57
頁數5
ISBN(電子)9781450377058
DOIs
出版狀態已發佈 - 三月 28 2020
對外發佈
事件8th International Conference on Information and Education Technology, ICIET 2020 - Okayama, 日本
持續時間: 三月 28 2020三月 30 2020

出版系列

名字ACM International Conference Proceeding Series

會議

會議8th International Conference on Information and Education Technology, ICIET 2020
國家/地區日本
城市Okayama
期間3/28/203/30/20

ASJC Scopus subject areas

  • 軟體
  • 人機介面
  • 電腦視覺和模式識別
  • 電腦網路與通信

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