Topic Structure and Visualization Analysis of Learning Analytics Researches

摘要：

　　As an important part of educational data mining,learning analytics has drawn extensive attention among international scholars since it was proposed.To further explore the research topic of learning analytics,this paper,which bases on the data containing 674 documents on learning analytics between 2010 and 2015 from Web of Science,explores and reveals the international research status about learning analytics.In the process of that,we adopt a variety of analysis tools and visualization technology to analyze the high cited documents,the distribution of core authors,high prolific institutions and high frequency keywords.Besides,on the basis of high frequency keywords dissimilarity matrix,we further clarify the research scope by the means of cluster analysis.Furthermore,by mapping out the strategic diagram graph,the trend of the development orientation of learning analytics is further clarified in order to provide reference and suggestions for international research and practice on learning analytics.

关键词： learning analytics co-word analysis visualization cluster analysis

作者: Xinger LU Junce FANG Zhinan HUANG Menglu JIANG Yanyan LI

作者单位: R&D Center for Knowledge Engineering,School of Education Technology,Beijing Normal University,Beijing

会议类型: 国内会议

会议名称: The 20th Global Chinese Conference on Computer in Education ( 第20届全球华人计算机教育应用大会)(GCCCE2016)

会议地点: 香港

会议语种:英文

页码: 593-600

在线出版日期: 2016-05-23（万方平台首次上网日期，不代表论文的发表时间）