Enhancing Critical Thinking in Generative <scp>AI</scp> Search with Metacognitive Prompts

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.

Institutions

Publication Details

Journal
Proceedings of the Association for Information Science and Technology
Published
2025-10-01
DOI
https://doi.org/10.1002/pra2.1287
Citations
2
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
4.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Critical Thinking in Generative AI Search with Metacognitive Prompts

2 citations
Proceedings of the Association for Information Science and Technology
AI in Service Interactions
4.96
article

Enhancing Critical Thinking in Generative AI Search with Metacognitive Prompts

article en
2 citations

Abstract

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.

Proceedings of the Association for Information Science and TechnologyVol. 62(1)
The University of Texas at Austin (US)
Quality Education
Openalex Percentile: Top 4%
AI in Service Interactions
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.