NetworkSeer: mooc中社交网络的可视化分析

Tongshuang Sherry Wu, Y. Yao, Y. Duan, Xinzhi Fan, Huamin Qu
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引用次数: 22

摘要

mooc的兴起引起了广泛的研究兴趣。在现有的与mooc相关的研究中,大多数都是针对个人的学习行为和评价(例如,分析点击流以探索视频观看行为等)进行课程设计。然而,在传统的课程教材之外,mooc还提供了交互式用户论坛,鼓励学生向同龄人寻求帮助,这使得课程具有社交网络的形成和互动性。因此,我们提出NetworkSeer来帮助评估MOOC学生使用论坛的原因,以及他们在做什么。NetworkSeer可视化论坛中的交互,包括交互发生的地点、时间和原因。它还可以过滤掉非目标组。通过一个案例研究来证明其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NetworkSeer: Visual analysis for social network in MOOCs
The rising trend of MOOCs has attracted wide ranging research interests. Among all the existing studies related to MOOCs, most of them focus on individuals' study behaviors and evaluations (e.g., analysis on click streams for video-watching behavior exploration, etc.) for course design purposes. However, in addition to traditional course materials, MOOCs also provide interactive user forums to encourage students to seek help from peers, which endows the courses with social network formation and interaction. Thus, we present NetworkSeer to help evaluate why MOOC students use forums, and what they do. NetworkSeer visualizes interactions in the forum, including where, when the interactions happen, and why. It also enables filtering out un-targeted groups. A case study is conducted to demonstrate its usefulness.
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