Effect of AI-Based Learning on Students' Computational Thinking Development: Evidence From a Meta-Analysis

IF 2.2 3区工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Applications in Engineering Education Pub Date : 2025-06-08 DOI:10.1002/cae.70058

Gexing Cheng, Dexin Hu

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引用次数: 0

Abstract

AI-based learning (AIBL) is becoming more and more popular. Is it effective for the development of students' computational thinking (CT)? This meta-analysis explores the effects of AIBL on students' CT development based on 26 high-quality experimental articles. The results suggest that AIBL has an upper-medium positive effect on students' CT development (Hedges's g = 0.553, 95% CI [0.410, 0.708], z = 7.366, p < 0.001), indicating that AIBL can effectively promote students' CT development. Moreover, moderator analyses reveal that AIBL is more effective under the following conditions: (1) for AI intervention type that applies AI algorithms; (2) in earlier publication years. (3) among European students; (4) among senior secondary students; (5) with sample sizes between 30 and 50 students; (6) for interventions lasting more than 2 months or less than 1 week; (7) in traditional programming courses; (8) when using project-based design; (9) for individual learning; (10) when assessed by test-based measurement tools.

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基于人工智能的学习对学生计算思维发展的影响：来自元分析的证据

基于人工智能的学习（AIBL）正变得越来越流行。它对培养学生的计算思维（CT）有效吗？本meta分析基于26篇高质量实验文章，探讨AIBL对学生CT发展的影响。结果表明，AIBL对学生CT发展有中上正向作用（Hedges’s g = 0.553, 95% CI [0.410, 0.708], z = 7.366, p < 0.001），说明AIBL能有效促进学生CT发展。此外，调节因子分析表明，AIBL在以下条件下更有效：(1)对于应用AI算法的AI干预类型；(2)在较早的出版年份。(3)欧洲学生；(4)高中生；(5)样本量在30 - 50名学生之间；（六）干预时间超过两个月或者少于一周的；(7)传统编程课程；(8)采用项目化设计时；(9)个人学习；（10）使用基于测试的测量工具进行评估时。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computer Applications in Engineering Education 工程技术-工程：综合

CiteScore

7.20

自引率

10.30%

发文量

100

审稿时长

6-12 weeks

期刊介绍： Computer Applications in Engineering Education provides a forum for publishing peer-reviewed timely information on the innovative uses of computers, Internet, and software tools in engineering education. Besides new courses and software tools, the CAE journal covers areas that support the integration of technology-based modules in the engineering curriculum and promotes discussion of the assessment and dissemination issues associated with these new implementation methods.