Investigating Collaboration as a Process with Theory-driven Learning Analytics

C. Kent, M. Cukurova
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引用次数: 17

Abstract

Although collaboration is considered a key 21st-century skill, oftentimes it is only assessed through the outcome measures of individual learners. In this paper, we draw upon collaborative cognitive load theory (CCLT) to explain the process of collaboration in learning from the point of view of the collective, rather than an individual learner. Using CCLT we suggest a new method of measuring the process of collaboration regardless of its outcome measures. Our approach — Collaborative Learning as a Process (CLaP) — uses social network analysis to evaluate the balance between interactivity gains and coordination costs of learner communities. Here, we demonstrate the approach using real-world data derived from the digital tracks of two online discussion communities. We argue that our conceptual approach can enable instructors and learners to unlock the black box of collaboration in learning. It has the potential to support the development of learner skills that go beyond cognition. We conclude the paper with the results of our investigation of the value of the approach to the online module instructor.
用理论驱动的学习分析研究协作过程
虽然协作被认为是21世纪的一项关键技能,但通常只能通过个体学习者的结果衡量来评估。在本文中,我们利用协作认知负荷理论(CCLT)从集体而不是个体学习者的角度来解释协作学习的过程。利用CCLT,我们提出了一种测量协作过程的新方法,无论其结果如何。我们的方法-协作学习作为一个过程(CLaP) -使用社会网络分析来评估学习者社区的互动收益和协调成本之间的平衡。在这里,我们使用来自两个在线讨论社区的数字轨迹的真实数据来演示该方法。我们认为,我们的概念方法可以使教师和学习者打开学习合作的黑箱。它有潜力支持超越认知的学习者技能的发展。最后,我们对在线模块讲师的价值进行了调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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