Enhancing Critical Thinking in Generative AI Search with Metacognitive Prompts
May 29, 2025 Β· Declared Dead Β· π Proceedings of the Association for Information Science and Technology
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Authors
Anjali Singh, Zhitong Guan, Soo Young Rieh
arXiv ID
2505.24014
Category
cs.HC: Human-Computer Interaction
Citations
5
Venue
Proceedings of the Association for Information Science and Technology
Last Checked
4 months ago
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, prompting 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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