Empowering collaborative knowledge construction through the implementation of a collaborative argument map tool

协作学习 合作写作 知识管理 过程(计算) 计算机科学 质量(理念) 学习分析 数学教育 心理学 万维网 数据科学 哲学 认识论 操作系统
作者
Fan Ouyang,Liyin Zhang,Mian Wu,Pengcheng Jiao
出处
期刊:Internet and Higher Education [Elsevier]
卷期号:62: 100946-100946 被引量:17
标识
DOI:10.1016/j.iheduc.2024.100946
摘要

Collaborative knowledge construction has been used in higher education to support student groups' collaborative learning activities through students' exchange, negotiation, and reflection of perspectives through peer communications. To support this process, collaborative learning analytics tools have been designed to collect and analyze collaborative process and performance data with a goal to provide actionable feedback and improve learning quality. However, few tools have demonstrated the mechanism and details about how students develop their perspectives during the collaborative knowledge construction process in higher education. To fill this gap, this research proposed a tool named Collaborative Argument Map (CAM) that creatively visualized different types of perspectives students proposed from the individual, peer, and group levels. This tool was further implemented in a graduate-level course in online collaborative writing activities in China's higher education, with a goal to support students' knowledge construction with peers. The summative and process-oriented learning analytics approaches were conducted to reveal the effects of CAM on students' collaborative perceptions, processes, and final products. Results showed that most students made substantive use of the CAM tool and reported positive perceptions of the tool. Further examinations verified the tool's positive effects on improving the students' cognitive engagement levels and the quality of their final collaborative writing products. This research provided practical implications for future CLA tool design and instructional implications for using this type of tool in collaborative learning in higher education.
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