Publication Type
Journal Article
Version
publishedVersion
Publication Date
6-2022
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.
Keywords
massive open online courses, visual analysis, visualization, online learning behavior
Discipline
Databases and Information Systems
Research Areas
Information Systems and Management
Publication
Journal of Computer-Aided Design & Computer Graphics (计算机辅助设计与图形学学报)
Volume
34
Issue
6
First Page
830
Last Page
840
ISSN
1003-9775
Identifier
10.3724/SP.J.1089.2022.19536
Publisher
Beijing Zhongke Journal Publishing Co., Ltd.
Citation
ZHOU, Zhiguang; WANG, Saqing; LIU, Yuhua; WANG, Yong; and WANG, Yigang.
A survey on visual analysis of massive open online courses (MOOC) data [大型开放式在线课程(MOOC)数据可视分析综述]. (2022). Journal of Computer-Aided Design & Computer Graphics (计算机辅助设计与图形学学报). 34, (6), 830-840.
Available at: https://ink.library.smu.edu.sg/sis_research/11164
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.3724/SP.J.1089.2022.19536
Comments
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