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ChatGPT

6 篇論文

Five diverse K-12 teachers compare AI-supported lesson drafts with curriculum notes and peer feedback during a professional learning session
期刊論文2026
期刊論文 64

Teachers used generative AI as a self-directed professional-learning scaffold, but the evidence remains self-reported

Zixi Li, Chaoran Wang, Curtis J. Bonk

TechTrends

A mixed-methods study surveyed 298 U.S. K-12 teachers who already used ChatGPT for teaching or professional development and interviewed five. Participants described using generative AI for lesson ideas, structure, quizzes and explanations, but the study did not measure teaching quality, actual time savings or student outcomes.

teacher professional developmentself-directed learningChatGPT
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German secondary students refine AI questions with prompt cards while a researcher observes their inquiry process in a small learning lab
期刊論文2025
期刊論文 60

A brief prompt scaffold changed how secondary students used ChatGPT but did not improve knowledge gain

Maria Klar

Smart Learning Environments

In an experiment with 106 German Grade 9–10 students, a 2.5-minute instruction and interface suggestions more than doubled adaptation prompts during a 20-minute ChatGPT research task. The support changed interaction behaviour but did not significantly improve knowledge gain or cognitive load.

K-12ChatGPTprompt scaffolding
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Four diverse researchers compare six separate geometric evidence trays beneath six cyan arrows pointing in different directions
綜述2026
綜述 46

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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Student and teacher balancing learning support with privacy risks while reviewing large-language-model output
綜述2023
綜述 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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