Analysis of Group Online Collaborative Learning Based on Log Data and ICAP

Xiuling He, Chenyang Wang, Yangyang Li, Zhipin Peng, Jing Fang
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Abstract

The study of cognitive engagement in collaborative learning is increasingly becoming a hot topic in the research field. This study is based on ICAP theory, automatic labeling of data, and a clear definition and analysis of group collaborative learning behavior considering the behavioral transition process of the group. The study was conducted on 69 learners who participated in three online collaborative learning activities over a period of 18 weeks to collect, analyze the behavioral transitions of the learners’ groups, and cluster the collaborative groups to obtain three different learning engagement styles with significant differences in their characteristics. The study shows that the behavioral transition characteristics of the learning groups discovered through the learning log data based on ICAP theory can be used as a reference for the analysis of cognitive input in online learning and the improvement of learning assistance.
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基于日志数据和ICAP的小组在线协作学习分析
协作学习中认知参与的研究日益成为研究领域的热点。本研究基于ICAP理论,对数据进行自动标注,并考虑到群体的行为转变过程,对群体协作学习行为进行清晰的定义和分析。本研究对69名学习者进行为期18周的三次在线协作学习活动,收集、分析学习者群体的行为转变,并对协作群体进行聚类,得到三种特征差异显著的不同学习投入风格。研究表明,基于ICAP理论的学习日志数据发现的学习群体的行为转变特征,可作为分析在线学习认知输入和提高学习辅助的参考。
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