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  • 标题:The Relationships Between Self-Efficacy, Task Value, and Self-Regulated Learning Strategies in Massive Open Online Courses
  • 本地全文:下载
  • 作者:Daeyeoul Lee ; Sunnie Lee Watson ; William R Watson
  • 期刊名称:The International Review of Research in Open and Distributed Learning
  • 印刷版ISSN:1492-3831
  • 出版年度:2020
  • 卷号:21
  • 期号:1
  • 页码:23-39
  • DOI:10.19173/irrodl.v20i5.4389
  • 出版社:AU Press
  • 摘要:This study examines the relationships between self-efficacy, task value, and the use of self-regulated learning strategies by massive open online course (MOOC) learners from a social cognitive perspective. A total of 184 participants who enrolled in two MOOCs completed surveys. The results of Pearson’s correlation analysis show a positive correlation between self-efficacy and the use of self-regulated learning strategies, as well as a positive correlation between task value and the use of self-regulated learning strategies. The results of hierarchical multiple regression analysis show that self-efficacy and task value are significant predictors of the use of self-regulated learning strategies. There was a statistically significant difference in the use of self-regulated learning strategies between learners who possessed high self-efficacy and those who possessed low self-efficacy. In addition, learners who had high task value showed statistically significant higher average self-regulated learning scores than those who had low task value. Implications and future research directions are discussed based on the findings..
  • 关键词:self;regulated learning;self;efficacy;task value;massive open online courses;MOOCs;social cognitive perspective
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