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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2020 8th International Conference on Information and Education Technology, ICIET 2020
PublisherAssociation for Computing Machinery, Inc
Pages53-57
Number of pages5
ISBN (Electronic)9781450377058
DOIs
Publication statusPublished - Mar 28 2020
Externally publishedYes
Event8th International Conference on Information and Education Technology, ICIET 2020 - Okayama, Japan
Duration: Mar 28 2020Mar 30 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Information and Education Technology, ICIET 2020
Country/TerritoryJapan
CityOkayama
Period3/28/203/30/20

Keywords

  • academic reading and writing
  • blended learning
  • lag sequential analysis
  • learning behaviors
  • self-regulated learning

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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