Abstract
Massive open online courses (MOOC) are free online courses that provide educational resources to users. In this paper, related works are summarized from the following perspectives: data types of MOOC, MOOC data visualization, and visual analysis applications of MOOC data. First, MOOC data is categorized into four types, including text data, video data, topological data, spatio-temporal data, and their concepts and applications are introduced. Then, the common visualization methods of different data types are discussed. Furthermore, the major applications of visual analytics approaches in MOOC data analysis are summarized, including online course learning, online tests and exams, online forum interaction and so on. Finally, the challenges and future work on visual analytics of MOOC data are discussed and concluded.
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