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Bridging the Gap between LMS and Social Network Learning Analytics in Online Learning

机译:弥补在线学习中LMS与社交网络学习分析之间的差距

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摘要

Despite the great potential of social network analysis (SNA) methods and visualizations for learning analytics in computer-supported collaborative learning (CSCL), these approaches have not been fully explored due to two important barriers: the scarcity and limited functionality of built-in tools in Learning Management Systems (LMS), and the difficulty to import educational data from formal virtual learning environments into social network analysis programs. This study aims to cover that gap by introducing GraphFES, an application and web service for extraction of interaction data from Moodle message boards and generation of the corresponding social graphs for later analysis using Gephi, a general purpose SNA software. In addition, this paper briefly illustrates the potential of the combination of the three systems (Moodle, GraphFES and Gephi) for social learning analytics using real data from a computer-supported collaborative learning course with strong focus on teamwork and intensive use of forums.
机译:尽管社交网络分析(SNA)方法和可视化在计算机支持的协作学习(CSCL)中用于学习分析的潜力很大,但由于两个重要的障碍,内置工具的稀缺性和功能有限,这些方法尚未得到充分探索学习管理系统(LMS)中的问题,以及将教育数据从正式的虚拟学习环境导入社交网络分析程序的困难。这项研究旨在通过引入GraphFES(一种用于从Moodle留言板上提取交互数据的应用程序和Web服务)以及生成相应的社交图供以后使用通用SNA软件Gephi进行分析的方法来弥补这一空白。此外,本文简要说明了这三种系统(Moodle,GraphFES和Gephi)相结合的潜力,这些潜力将使用来自计算机支持的协作学习课程的真实数据来进行社会学习分析,重点是团队合作和论坛的大量使用。

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