The impact of generative artificial intelligence on students’ higher order thinking: evidence from a three-level meta-analysis
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Two reviewers independently assessed the quality of the 35 studies using the quality index checklist developed by Montuori et al. (2024) and Nie et al. (2025).
“Two reviewers independently assessed the quality of the 35 studies using the quality index checklist developed by Montuori et al. (2024) and Nie et al. (2025) (see Table 3).”
From Can project-based learning improve students’ mathematics learning outcomes: a three-level meta-analysis (2026) · cites this paper as Nie et al. (2025)
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Do <scp>AI</scp> chatbots improve students learning outcomes? Evidence from a meta‐analysis
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Wang, C., Zhang, W., & Cheng, J. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1868415
- Authors
- Nie, X., Tian, Y., Liu, M., Wu, D., & Guo, Y.
- Affiliations
- Central China Normal University (CN)
- Beijing Normal University (CN)
- Corresponding author
- Tian, Yuan
- Venue
- Education and Information Technologies
- Published
- 2025-09-20
- Volume
- 30
- Issue
- 17
- Pages
- 25359-25390
- ISSN
- 1360-2357 (ISSN-L)
- 1573-7608
- OpenAlex
- W4414372594
- Cited by
- 20
- References
- 36
- Citations by year
- 2026: 20
- FWCI
- 20.97
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Education and Information Technologies (publishedVersion)
- Funders
- National Natural Science Foundation of China (62377025)
- Fundamental Research Funds for the Central Universities (CCNU24JCPT033)
- Collaborative Innovation Center of Assessment towards Basic Education Quality at Beijing Normal University (BJZK-2024A1-20013)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Education › Education and Critical Thinking Development
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Keywords
- generative AI, higher-order thinking skills, critical thinking, creativity, problem solving, computational thinking, artificial intelligence in education, student cognitive development, intervention duration, sample size effects
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