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The Impact of AI on Learners' Self-Efficacy: A Meta-Analysis
Liling Ren1, Jason M Stephens1, Kerry Lee1
1Faculty of Arts and Education, School of Education and Social Practice, University of Auckland, Auckland 1010, New Zealand.
None:
With the rise of generative artificial intelligence, the application of AI in learning environments has received widespread attention. Although empirical studies have explored the effect of AI on self-efficacy, the results have not been consistent. This study conducted a meta-analysis on the results from 23 empirical studies on the impact of AI use on self-efficacy. These studies were published between January 2005 and February 2025 and indexed in one or more of the three major educational research databases: Web of Science, Scopus, and ERIC. The results indicated that AI had a significant positive impact on self-efficacy in learning contexts (effect size of 0.758). Specifically, discipline (Q = 10.348, p < 0.05) and the specific role played by AI (Q = 3.991, p < 0.05) significantly moderated the effect of AI on self-efficacy. In our discussion, suggestions are provided for enhancing learner self-efficacy and improving the effectiveness of AI in the learning contexts.
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