Towards a better understanding of the role of visualization in online learning:A review

作     者：Gefei Zhang Zihao Zhu Sujia Zhu Ronghua Liang Guodao Sun Gefei Zhang;Zihao Zhu;Sujia Zhu;Ronghua Liang;Guodao Sun

作者机构：College of Computer Science and TechnologyZhejiang University of TechnologyHangzhou310023China 

出 版 物：《Visual Informatics》 (可视信息学（英文）)

年 卷 期：2022年第6卷第4期

页      面：22-33页

核心收录：

学科分类：0401[教育学-教育学] 04[教育学] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 040110[教育学-教育技术学（可授教育学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the National Natural Science Foundation of China(61972356 62036009) 

主　　题：Visualization in education Online learning Visual analytics 

摘      要：With the popularity of online learning in recent decades,MOOCs(Massive Open Online Courses)are increasingly pervasive and widely used in many *** online learning is particularly important because it helps to analyze learner performance,evaluate the effectiveness of online learning platforms,and predict dropout *** to the large-scale,high-dimensional,and heterogeneous characteristics of the data obtained from online learning,it is difficult to find hidden *** this paper,we review and classify the existing literature for online learning to better understand the role of visualization in online *** taxonomy is based on four categorizations of online learning tasks:behavior analysis,behavior prediction,learning pattern exploration and assisted *** on our review of relevant literature over the past decade,we also identify several remaining research challenges and future research work.