JOURNAL ARTICLE
Unpacking the Effects of GenAI on Cultivating Students' Computational Thinking: A Meta-Analysis.
Published In: Journal of Educational Computing Research, 2026, v. 64, n. 4. P. 1024 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Xu, Jie; Chen, Zexi; Chen, Mengyao; Li, Yan; Xu, Xianlong 3 of 3
Abstract
This article focuses on a meta-analysis examining the effects of generative artificial intelligence (GenAI) on cultivating students' computational thinking (CT), defined as problem-solving and system design skills grounded in computer science concepts. Integrating 45 effect sizes from 25 empirical studies published between 2022 and 2025, the analysis found that GenAI has a significant moderate positive overall effect on students' CT, with the strongest impact on computational practice, followed by computational concept and computational perspective. The study identified region, teaching mode, and interaction mode as significant moderators, highlighting that GenAI is most effective in Asian contexts, within flipped classroom settings, and when using text-voice combined interactions. The findings suggest tailored educational and technological strategies to optimize GenAI’s role in CT development, while noting limitations such as regional and educational level imbalances in the current research sample.
Additional Information
- Source:Journal of Educational Computing Research. 2026/06, Vol. 64, Issue 4, p1024
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2026
- ISSN:07356331
- DOI:10.1177/07356331261419586
- Accession Number:192767643
- Copyright Statement:Copyright of Journal of Educational Computing Research is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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