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《e-Education Research》 2018-07
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A Study of Map-based Visual Analysis Method for Big Data in Education

LIU Sanya;ZHOU Dongbo;LI Hao;SUN Jianwen;YU Jie;National Engineering Research Center for E-Learning, Central China Normal University;National Engineering Laboratory for Application Technology of Big Data in Education, Central China Normal University;Office of Scientific Research and Development, Wuhan University;  
Currently, the management and analysis of big data in education lacks the map-based application mode, visual presentation is separated from decision support, and different users lack unified resource portal. In order to deal with those problems, this paper proposes a map-based visual analysis method for big data in education, which includes the data integration by using location and geo-mapping,the virtualization of spatial-temporal distribution on map, the overlay and fusion of map layers with different themes, the resource correlation based on buffer analysis, and the intelligent tutoring based on the timing path analysis. Then the precise service providing spatial retrieval and resource location of map-based unified entrance is discussed. This study is beneficial for data mining, intelligent application, and precise service of big data in education and also provides a feasible way for the acquisition and processing of educational data.
【Fund】: 国家自然科学基金项目“基于粒度计算的空间大数据增强现实可视分析方法研究”(项目编号:41671377);国家自然科学基金项目“自然科学基金教育科学资助体系研究——以信息科学部和管理科学部为例”(项目编号:L1724007)
【CateGory Index】: G434
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