AMQuestioner: Training Critical Thinking with Question-Driven Interactive Argument Maps in Online Discussion
Year: 2025
Type: article
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.
DOI: 10.1145/3757551
Authors: Qiyu Pan, Jianqiao Zeng, Jie Wang, Junyu Liu, Yihan Qiu, Kangyu Yuan, Zhenhui Peng
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: bronze
Award: G3167482197
OpenAlex ID: W4415250215
