Evaluating Students Online Discussion Performance by Using Social Network Analysis

2012 Ninth International Conference on Information Technology - New Generations Pub Date : 2012-04-16 DOI:10.1109/ITNG.2012.72

Peng He

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引用次数: 17

Abstract

Online discussion forum is becoming an important part in college education nowadays. To evaluate student's online discussion performance is essential since more and more professors have included online participation as a part of their class grade. In this paper, we use social network analysis methods to help professors in evaluating individual student's online discussion performance. By applying degree centrality (out-Degree and in-Degree) and density metrics, we can identify students who have been actively involved in the discussion board and find out those who need to be encouraged to participate in. Also, SNA software tools are used to visualize students' online discussion participation networks and help to identify these active nodes. In addition, Page Rank algorithm has been applied to the same data to rank the prestige nodes in this social network and the results are compared with degree centrality metric one. The experimental data of students' online discussion threads are collected from one undergraduate course MIS at our University and results show that students who actively participate in online discussion have good academic performances.

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运用社会网络分析评价学生在线讨论表现

网络论坛正在成为当今大学教育的重要组成部分。评估学生的在线讨论表现是必不可少的，因为越来越多的教授将在线参与作为他们课堂成绩的一部分。在本文中，我们使用社会网络分析方法来帮助教授评估个别学生的在线讨论表现。通过应用学位中心性(out- degree和in- degree)和密度指标，我们可以确定积极参与讨论板的学生，并找出需要鼓励参与的学生。此外，SNA软件工具用于可视化学生的在线讨论参与网络，并帮助识别这些活动节点。此外，对同一数据应用Page Rank算法对该社交网络中的威望节点进行排名，并将结果与度中心性度量1进行比较。在我校某本科管理信息系统中收集了学生在线讨论线程的实验数据，结果表明，积极参与在线讨论的学生具有良好的学习成绩。

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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来源期刊

2012 Ninth International Conference on Information Technology - New Generations

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