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Strengthening collaborative argumentation with interactive guidance: a dialogic peer feedback approach based on the six thinking hats strategy

论证理论 对话的 计算机科学 数学教育 同行反馈 人机交互 知识管理 心理学 教育学 多媒体 认识论 哲学
作者
Zhiqiang Ma,L. X. Kong,Yun‐Fang Tu,Gwo‐Jen Hwang,Zi-Yun Lyu
出处
期刊:Interactive Learning Environments [Taylor & Francis]
卷期号:: 1-25
标识
DOI:10.1080/10494820.2024.2344051
摘要

Collaborative argumentation supported by argumentation mapping is important for developing college students' argumentation ability. However, in conventional argumentation mapping-supported collaborative argumentation (AM-CA) activities, learners tend to quickly reach consensus without sufficient discussion and negotiation, or fail to spontaneously assess and integrate the group's ideas, thus failing to develop more comprehensive and in-depth arguments. Therefore, this study proposed a six thinking hats strategy-based dialogic peer feedback approach to support AM-CA activities, which was expected to support students' iterative negotiation and deeper interactions through dialogic peer feedback, thus enhancing the quality of argumentation. To show the effectiveness of the proposed approach, this study used a quasi-experimental method to test the proposed strategy in a freshman seminar class at a university. The control group (22 students) used the conventional AM-CA (C-AM-CA) approach, while the experimental group (22 students) used the six thinking hats strategy-based AM-CA (STH-AM-CA) approach. The findings showed that STH-AM-CA improved the quality of argumentation mapping compared to C-AM-CA, but it also significantly increased the learners' cognitive load. In addition, a thematic inductive qualitative analysis of the interview data demonstrated the strengths and weaknesses of each strategy.
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