计算机科学
人工智能
人机交互
人工智能应用
教育技术
人工神经网络
电子学习
机器学习
多媒体
计算机辅助教学
作者
Junsheng Wu,Jiahe Gu,Dan Sun,Xiong Yuhan,Hexiang He,Peiyao Zhang,Zi Yan
标识
DOI:10.1080/15391523.2026.2643171
摘要
As artificial intelligence (AI) technologies rapidly advance in education, their potential to support learners’ self-regulated learning (SRL) has gained increasing attention. This meta-analysis synthesized 95 effect sizes from 28 empirical studies to evaluate the overall impact of AI interventions on SRL and examine moderating variables. The results showed that AI interventions significantly improved learners’ SRL. Further analysis indicated that intervention duration and subject domain moderated effectiveness. A multiple-moderator model within the three-level framework also showed that these two variables significantly affect outcomes. Overall, the findings offer guidance for educators and policymakers and support integrating AI technologies into educational practice to enhance learners’ SRL strategies.
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