The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis

As a new type of artificial intelligence, ChatGPT is becoming widely used in learning. However, academic consensus regarding its efficacy remains elusive. This study aimed to assess the effectiveness of ChatGPT in improving students’ learning performance, learning perception, and higher-order thinking through a meta-analysis of 51 research studies published between November 2022 and February 2025. The results indicate that ChatGPT has a large positive impact on improving learning performance (g = 0.867) and a moderately positive impact on enhancing learning perception (g = 0.456) and fostering higher-order thinking (g = 0.457). The impact of ChatGPT on learning performance was moderated by type of course (QB = 64.249, P < 0.001), learning model (QB = 76.220, P < 0.001), and duration (QB = 55.998, P < 0.001); its effect on learning perception was moderated by duration (QB = 19.839, P < 0.001); and its influence on the development of higher-order thinking was moderated by type of course (QB = 7.811, P < 0.05) and the role played by ChatGPT (QB = 4.872, P < 0.05). This study suggests that: (1) appropriate learning scaffolds or educational frameworks (e.g., Bloom’s taxonomy) should be provided when using ChatGPT to develop students’ higher-order thinking; (2) the broad use of ChatGPT at various grade levels and in different types of courses should be encouraged to support diverse learning needs; (3) ChatGPT should be actively integrated into different learning modes to enhance student learning, especially in problem-based learning; (4) continuous use of ChatGPT should be ensured to support student learning, with a recommended duration of 4–8 weeks for more stable effects; (5) ChatGPT should be flexibly integrated into teaching as an intelligent tutor, learning partner, and educational tool. Finally, due to the limited sample size for learning perception and higher-order thinking, and the moderately positive effect, future studies with expanded scope should further explore how to use ChatGPT more effectively to cultivate students’ learning perception and higher-order thinking.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-05-06
DOI
https://doi.org/10.1057/s41599-025-04787-y
Citations
155
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
382.07

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article

The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis

Wenxiang Fan, Jin Wang
155 citations
Humanities and Social Sciences Communications
AI in Service Interactions
382.07
article

The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis

Wenxiang Fan, Jin Wang
article en
155 citations

Abstract

As a new type of artificial intelligence, ChatGPT is becoming widely used in learning. However, academic consensus regarding its efficacy remains elusive. This study aimed to assess the effectiveness of ChatGPT in improving students’ learning performance, learning perception, and higher-order thinking through a meta-analysis of 51 research studies published between November 2022 and February 2025. The results indicate that ChatGPT has a large positive impact on improving learning performance (g = 0.867) and a moderately positive impact on enhancing learning perception (g = 0.456) and fostering higher-order thinking (g = 0.457). The impact of ChatGPT on learning performance was moderated by type of course (QB = 64.249, P < 0.001), learning model (QB = 76.220, P < 0.001), and duration (QB = 55.998, P < 0.001); its effect on learning perception was moderated by duration (QB = 19.839, P < 0.001); and its influence on the development of higher-order thinking was moderated by type of course (QB = 7.811, P < 0.05) and the role played by ChatGPT (QB = 4.872, P < 0.05). This study suggests that: (1) appropriate learning scaffolds or educational frameworks (e.g., Bloom’s taxonomy) should be provided when using ChatGPT to develop students’ higher-order thinking; (2) the broad use of ChatGPT at various grade levels and in different types of courses should be encouraged to support diverse learning needs; (3) ChatGPT should be actively integrated into different learning modes to enhance student learning, especially in problem-based learning; (4) continuous use of ChatGPT should be ensured to support student learning, with a recommended duration of 4–8 weeks for more stable effects; (5) ChatGPT should be flexibly integrated into teaching as an intelligent tutor, learning partner, and educational tool. Finally, due to the limited sample size for learning perception and higher-order thinking, and the moderately positive effect, future studies with expanded scope should further explore how to use ChatGPT more effectively to cultivate students’ learning perception and higher-order thinking.

Humanities and Social Sciences CommunicationsVol. 12(1)
Hangzhou Normal University (CN)
Hangzhou Normal University
Openalex Percentile: Top 0%
AI in Service Interactions
382.07
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