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2016 IEEE Pacific Visualization Symposium (PacificVis) (2016)
Taipei, Taiwan
April 19, 2016 to April 22, 2016
ISSN: 2165-8773
ISBN: 978-1-5090-1451-4
pp: 194-198
Tongshuang Wu , The Hong Kong University of Science and Technology
Yuan Yao , The Hong Kong University of Science and Technology
Yuqing Duan , The Hong Kong University of Science and Technology
Xinzhi Fan , The Hong Kong University of Science and Technology
Huamin Qu , The Hong Kong University of Science and Technology
ABSTRACT
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.
INDEX TERMS
K.3.1. [Computers and Education]: Computer Uses in Education — Distance Learning,
CITATION
Tongshuang Wu, Yuan Yao, Yuqing Duan, Xinzhi Fan, Huamin Qu, "NetworkSeer: Visual analysis for social network in MOOCs", 2016 IEEE Pacific Visualization Symposium (PacificVis), vol. 00, no. , pp. 194-198, 2016, doi:10.1109/PACIFICVIS.2016.7465269
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