Cited by 20Artificial Intelligence in EducationEducation and Critical Thinking DevelopmentCreativity in Education and Neuroscience

The impact of generative artificial intelligence on students’ higher order thinking: evidence from a three-level meta-analysis

Nie, Xinxiao, Tian, Yuan, Liu, Mengjie, Wu, Di, Guo, Yunxiao·2025·Education and Information Technologies

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Crossref · 10.1007/s10639-025-13735-x

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36 of 36 references verified0 citation errors · 0 not checkable

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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).”

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Cited by

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
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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