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.
Authors
- Junyu Liu
- Zhenhui Peng (ORCID: https://orcid.org/0000-0002-5700-3136)
- Kangyu Yuan (ORCID: https://orcid.org/0009-0001-8460-9651)
- Jiasheng Zeng (ORCID: https://orcid.org/0009-0005-5584-8046)
- Yong Qiu
- Jie Wang (ORCID: https://orcid.org/0009-0001-0595-6445)
- Qiyu Pan
Institutions
- Sun Yat-sen University (CN)
- Hong Kong University of Science and Technology (HK)
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
- Type
- article
- Field-Weighted Citation Impact
- 0.00