Cited by 15

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Enhancing Critical Thinking in Generative AI Search with Metacognitive Prompts

Singh, Anjali, Guan, Zhitong, Rieh, Soo Young·2025·Proceedings of the Association for Information Science and Technology

Abstract

The growing use of Generative AI (GenAI) conversational search tools has raised concerns about their effects on people's metacognitive engagement, critical thinking, and learning. As people increasingly rely on GenAI to perform tasks such as analyzing and applying information, they may become less actively engaged in thinking and learning. This study examines whether metacognitive prompts—designed to encourage people to pause, reflect, assess their understanding, and consider multiple perspectives—can support critical thinking during GenAI‐based search. We conducted a user study ( N = 40) with university students to investigate the impact of metacognitive prompts on their thought processes and search behaviors while searching with a GenAI tool. We found that these prompts led to more active engagement, leading students to explore a broader range of topics and engage in deeper inquiry through follow‐up queries. Students reported that the prompts were especially helpful for considering overlooked perspectives, promoting evaluation of AI responses, and identifying key takeaways. Additionally, the effectiveness of these prompts was influenced by students' metacognitive flexibility. Our findings highlight the potential of metacognitive prompts to foster critical thinking and provide insights for designing and implementing metacognitive support in human‐AI interactions.

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Metadata

Authors
Singh, A., Guan, Z., & Rieh, S. Y.
Affiliations
The University of Texas at Austin USA
Venue
Proceedings of the Association for Information Science and Technology
Publisher
Wiley
Published
2025-10
Volume
62
Issue
1
Pages
672-684
ISSN
2373-9231
Cited by
15
References
7
Language
en

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