以评估为重点的CSCL学习分析:基于活动理论的聚类分析的探索性研究

Wanli Xing, Robert Wadholm, S. Goggins
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引用次数: 39

摘要

在本文中,我们提出了一种自动化策略来评估参与多模式数学话语环境,称为虚拟数学团队与Geogrebra (VMTwG)。从活动理论的角度出发,提出了一种整体参与聚类算法。我们基于活动理论的算法朝着加速启发式方法在同步技术介导的环境(如VMTwG)中评估协同工作迈出了一步。我们的探索性研究结果为计算机辅助学习环境中的教师提供了一种新颖、高效、有效和可靠的参与式学习评估工具。通过计算和理论的结合来扩展在线学习是本文所处的工作的总体目标。
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Learning analytics in CSCL with a focus on assessment: an exploratory study of activity theory-informed cluster analysis
In this paper we propose an automated strategy to assess participation in a multi-mode math discourse environment called Virtual Math Teams with Geogrebra (VMTwG). A holistic participation clustering algorithm is applied through the lens of activity theory. Our activity theory-informed algorithm is a step toward accelerating heuristic approaches to assessing collaborative work in synchronous technology mediated environments like VMTwG. Our Exploratory findings provide an example of a novel, time-efficient, valid, and reliable participatory learning assessment tool for teachers in computer mediated learning environments. Scaling online learning with a combination of computation and theory is the overall goal of the work this paper is situated within.
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Learning analytics in CSCL with a focus on assessment: an exploratory study of activity theory-informed cluster analysis Temporal learning analytics for computer based testing Statistical discourse analysis of online discussions: informal cognition, social metacognition and knowledge creation The learning analytics & knowledge (LAK) data challenge 2014 Designing pedagogical interventions to support student use of learning analytics
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