在线和混合学习环境中自我调节学习策略与学习成绩相关性的元分析

IF 8.9 1区 教育学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yingying Zhao , Yixun Li , Shuai Ma , Zhihong Xu , Bingsheng Zhang
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引用次数: 0

摘要

本荟萃分析考察了在线和混合学习环境中不同的自我调节学习策略与学习成绩之间的关系。数据库检索从2011年到2022年的37篇文章中共发现了42项研究,包含来自11,014名K-12和高等教育参与者的115个效应值。自主学习策略对学业成绩的总体效应量为0.14。除了受教育程度外,我们没有发现任何显著的调节效应。为了研究自主学习策略与学习成绩之间的关系,我们在两个不同的层面上比较了不同自主学习策略与学习成绩之间的关系:16种特定的自主学习策略(操作层面)和4种自主学习策略(概念层面)。我们发现,在概念层面上,所有四种SRL策略都与学习成绩显著相关。在SRL策略的操作层面上,研究结果表明,排练、组织、元认知策略、时间管理、努力调节和一般SRL策略是与学业成绩相关的有效策略。本研究结果有助于在线学习中SRL研究的进一步发展,并指导针对性SRL干预措施的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A meta-analysis of the correlation between self-regulated learning strategies and academic performance in online and blended learning environments
The present meta-analysis examines the association between different self-regulated learning (SRL) strategies and academic performance in online and blended learning environments. A database search identified a total of 42 studies from 37 articles from 2011 to 2022, containing 115 effect sizes from 11,014 participants in K-12 and higher education. The overall effect size between SRL strategies and academic performance was .14. We did not detect any significant moderation effects except for educational level. To examine the differences in how SRL strategies are linked to academic performance, we compared the relationships between different SRL strategies with academic performance at two different levels: 16 specific SRL strategies (operational level) and four categories of SRL strategies (conceptual level). We found that, at the conceptual level, all four SRL strategies were significantly correlated with academic performance. On the operational level of SRL strategies, the results showed that rehearsal, organization, metacognitive strategy, time management, effort regulation, and general SRL strategies were effective strategies associated with academic performance. The present findings contribute to the future advancement of SRL research in online learning and guide the development of targeted SRL interventions.
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来源期刊
Computers & Education
Computers & Education 工程技术-计算机:跨学科应用
CiteScore
27.10
自引率
5.80%
发文量
204
审稿时长
42 days
期刊介绍: Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.
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