#ChatGPT

ChatGPT

4 篇论文

Four diverse researchers compare six separate geometric evidence trays beneath six cyan arrows pointing in different directions

综述2026

ChatGPT's impact on student learning outcomes: a meta-analysis of 35 experimental studies

Xinning Wu, Pei Zhu, Jinliang Zhang, Mengwei Yin, Yingxi Wang

Humanities and Social Sciences Communications

A 2026 meta-analysis of 35 experimental studies and 4,193 participants reported a moderate average positive effect of ChatGPT on learning outcomes, but very high heterogeneity means the pooled result should guide conditional design questions rather than a universal effectiveness claim.

ChatGPTmeta-analysislearning outcomes

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Editorial cover for ethical and behavioral factors in students' ChatGPT adoption

期刊论文2026

期刊论文 20

Generative AI in higher education: ethical and behavioral factors influencing students' intentions to use ChatGPT

Nina Rizun, Ovidiu Niculae Bordean, Anastasija Nikiforova, Ioana Natalia Beleiu, Aleksandra Revina

Computers and Education Open

A 2026 open-access study of 344 European students connects ChatGPT adoption in higher education with explainability, privacy, trust, social influence, and perceived control.

ChatGPTAI ethicshigher education

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Editorial cover for ChatGPT-supported EFL writing and AI literacy

期刊论文2026

期刊论文 15

AI literacy and mediated learner autonomy in ChatGPT-supported EFL writing: a qualitative study at a Palestinian university

Bilal Hamamra, Asma Abdullah, Sanadil Alawi

International Journal of Educational Technology in Higher Education

A 2026 qualitative study follows Palestinian undergraduates using ChatGPT in EFL writing, showing how AI literacy, teacher mediation, and learner autonomy develop together.

AI literacyChatGPTEFL writing

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Student and teacher balancing learning support with privacy risks while reviewing large-language-model output

综述2023

综述 02

ChatGPT for good? On opportunities and challenges of large language models for education

Enkelejda Kasneci, Kathrin Sessler, Stefan Kuechemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Guennemann, Eyke Huellermeier, Stephan Krusche, Gitta Kutyniok, Tilman Michaeli, Claudia Nerdel, Juergen Pfeffer, Oleksandra Poquet, Michael Sailer, Albrecht Schmidt, Tina Seidel, Matthias Stadler, Jochen Weller, Jochen Kuehn, Gjergji Kasneci

Learning and Individual Differences

A widely cited position paper that balances the educational opportunities of large language models with risks around bias, privacy, assessment, and teacher guidance.

large language modelsChatGPTteacher support

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