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《Modern Educational Technology》 2018-06
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Application of Outlier Detection Technology in Education and Instruction

CHEN Shi-chao;YANG Xian-min;PAN Qing-qing;XING Bei-bei;Research Center of Smart Education, Jiangsu Normal University;  
The comprehensive and multi-modal data acquisition and analysis of data has become an important research direction in the field of Education. Outlier detection technology can locate abnormal data from massive dynamic educational data, identify behavior paths that do not conform to the general characteristics, and provides valuable information for students' personalized instruction and educational decision-making. By reviewing relevant literature on the application of outlier detection technology in education, this study found that the main outlier objects in education are students, teachers, educational resources, schools and regions. Based on that, this article constructed the application framework and application process of outlier detection technology in education and teaching. Finally, the study discussed the challenges of outlier detection technology in education, expecting to provide reference and guidance for the in-depth application of outlier detection technology in education.
【Fund】: 江苏省333工程科研基金资助项目“网络环境下深度学习行为分析及其促进策略研究”(项目号:333GC201702);; 江苏高校“青蓝工程”资助
【CateGory Index】: G434
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