AMQuestioner: Training Critical Thinking with Question-Driven Interactive Argument Maps in Online Discussion

Critical thinking, which requires logical analyses on the problems and keeping open-minded to others' viewpoints, is a crucial skill when participating in online discussions. While existing works have explored visualizing the components of an argument in a map, i.e., argument map, to support critical thinking tasks, few of them have incorporated educational elements that aim at training critical thinking in online discussion. In this paper, based on a formative study (N = 57), we develop AMQuestioner , a critical thinking training tool that allows question-driven interactions with argument maps automatically extracted from a post thread. In AMQuestioner , users can explore others' claims with a chatbot via suggested questions and conduct critical thinking exercises by answering generated questions related to any claim in the map. A mixed-design study (N=24) reveals that, compared to a baseline tool without question-driven features, participants after training with AMQuestioner demonstrated significantly more improvements in independently writing arguments that are detailed, specific, and relevant to the topic. Participants with AMQuestioner also exhibited a stronger inclination toward open-mindedness to others' arguments during the three-days training process. We discuss design implications for future critical thinking training tools.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757551
Primary Topic
Education and Critical Thinking Development
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article
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article

AMQuestioner: Training Critical Thinking with Question-Driven Interactive Argument Maps in Online Discussion

Junyu Liu, Zhenhui Peng, Kangyu Yuan, Jiasheng Zeng et al.
Proceedings of the ACM on Human-Computer Interaction
Education and Critical Thinking Development
article

AMQuestioner: Training Critical Thinking with Question-Driven Interactive Argument Maps in Online Discussion

Junyu Liu, Zhenhui Peng, Kangyu Yuan, Jiasheng Zeng, Yong Qiu, Jie Wang, Qiyu Pan
article en

Abstract

Critical thinking, which requires logical analyses on the problems and keeping open-minded to others' viewpoints, is a crucial skill when participating in online discussions. While existing works have explored visualizing the components of an argument in a map, i.e., argument map, to support critical thinking tasks, few of them have incorporated educational elements that aim at training critical thinking in online discussion. In this paper, based on a formative study (N = 57), we develop AMQuestioner , a critical thinking training tool that allows question-driven interactions with argument maps automatically extracted from a post thread. In AMQuestioner , users can explore others' claims with a chatbot via suggested questions and conduct critical thinking exercises by answering generated questions related to any claim in the map. A mixed-design study (N=24) reveals that, compared to a baseline tool without question-driven features, participants after training with AMQuestioner demonstrated significantly more improvements in independently writing arguments that are detailed, specific, and relevant to the topic. Participants with AMQuestioner also exhibited a stronger inclination toward open-mindedness to others' arguments during the three-days training process. We discuss design implications for future critical thinking training tools.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
Sun Yat-sen University (CN), Hong Kong University of Science and Technology (HK)
Openalex Percentile: Top 68%
Education and Critical Thinking Development
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AMQuestioner: Training Critical Thinking with Question-Driven Interactive Argument Maps in Online Discussion — Junyu Liu, Zhenhui Peng, et al. · Proceedings of the ACM on Human-Computer Interaction (2025) | TGRS Research Map | TGRS