文章基本信息

标题：Visualizations of Online Course Interactions for Social Network Learning Analytics
本地全文：下载
作者：Ángel Hernández-García ; Inés González-González ; Ana Isabel Jiménez-Zarco 等
期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2016
卷号：11
期号：7
页码：6-15
语种：English
出版社：Kassel University Press
其他摘要：Social network learning analytics aims to extract useful information to improve the learning process, but the variety of learning management systems makes this task burdensome and difficult to manage. This study shows how Gephi, a general-purpose, open-source social network analysis application, can be used by instructors and institutions to extract and visualize relevant information that is commonly hidden or difficult to observe for course coordinators and teachers. The empirical case study uses data from one cross-curricular course with 656 students at the Open University of Catalonia (UOC) and showcases the use of Gephi as a social network learning analytics tool. The study further discusses the potential of social network learning analytics to improve online instruction by visualization of educational data.
关键词：Gephi;learning analytics;learning data visualization;online learning;social network analysis