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《e-Education Research》 2017-06
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Learning Analytics for Smart Education

Wu Wenjun;School of Computer Science, Beihang University;  
Smart education, a new type of education along with the development of e-Education, aims to apply intelligent information technology such as Internet to the field of education to improve the efficiency of traditional education and intelligent degree and further realize the personalized and innovative education. Learning analytics technology is important to support smart education. It collects and gathers a large number of learning data produced by students in intelligent learning environment, and then analyzes and interprets those data to obtain the implicit and explicit learning behaviors of students for assessing students' academic progress, predicting their future performance, discovering their potential problems and offering intelligent suggestions to them. This paper summarizes the major methods and theoretical framework of learning analytics, and briefly introduces relevant examples of its application.
【Fund】: 国家自然基金项目“大规模在线协同学习的机理与方法研究”(项目编号:61532004)
【CateGory Index】: G434
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