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《e-Education Research》 2017-01
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A Content Semantic Analysis Model and Its Application Research from The Perspective of Educational Big Data

LIU Qingtang;ZHANG Si;FAN Guilin;WANG Yang;WU Linjing;School of Educational Information Technology, Central China Normal University;Research Center of Educational Science, Central China Normal University;Collaborative & Innovative Center for Balanced Development of Information and Foundation Education;  
Owing to big data in education, it is possible to analyze learners' learning behaviors and process, improve students' learning performances and make scientific planning and decision making.However, when it comes to the mass education data with large capacity, fast proliferation and contextual characteristics in social learning, the traditional analysis method encountered difficulties. How to establish a reliable model of learning analytics to analyze and explain the education data scientifically and reasonably becomes a heated research issue. In this paper, after the introduction of the concept, general process and analysis method of content semantic analysis, a semantic content analysis method in digital classroom, a semantic content analysis model and application framework of social learning are proposed.Then the application of that model in digital classroom teaching, construction of the ontology library in educational technology and the analysis of teachers' reflection in network research community are discussed in order to study educational research approaches and methods under the environment of big data.
【Fund】: 教育部人文社会科学研究青年基金项目“教师网络研修社区中知识共享机制研究”(项目编号:15YJC880134);; 华中师范大学中央高校基本科研业务费项目(项目编号:CCNU16JCZX04、CCNU16JCZX05、XJT20150006)
【CateGory Index】: G434
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