大型开放式在线课程(MOOC)数据可视分析综述  

A Survey on Visual Analysis of Massive Open Online Courses(MOOC)Data

作　　者：周志光 王飒清 刘玉华 王勇 王毅刚[1] Zhou Zhiguang;Wang Saqing;Liu Yuhua;Wang Yong;Wang Yigang(School of Media and Design,Hangzhou Dianzi University,Hangzhou 310018;School of Computing and Information Systems,Singapore Management University,Singapore 188065)

机构地区：[1]杭州电子科技大学人文艺术与数字媒体学院,杭州310018 [2]School of Computing and Information Systems,Singapore Management University,Singapore 188065

出　　处：《计算机辅助设计与图形学学报》2022年第6期830-840,共11页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(61802339,61872314,62177040);浙江省科技计划(2021C03137);浙江省科技厅公益项目(GF20G010005,GF20F020065);浙江大学CAD&CG国家重点实验室开放课题(A2001,A2224)。

摘　　要：大型开放式在线课程(massive open online courses,MOOC)是面向用户提供教学资源的线上学习平台.从MOOC数据类型、MOOC数据可视化方法和MOOC数据的可视分析应用3个角度进行综述.首先介绍MOOC中的文本数据、视频数据、拓扑结构数据和时空数据;然后对不同数据类型常用的可视化方法进行论述;再介绍MOOC数据可视分析在在线学习行为分析、论坛交互活动分析和学生表现结果分析等方面的应用;最后对MOOC数据可视分析的未来发展趋势进行展望.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.

关 键 词：大型开放式在线课程 可视分析 可视化 在线学习行为 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]