Education Analytics: Challenges and Approaches

Linlin Zhang, K. F. Li
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引用次数: 13

Abstract

We present a survey on the current status of education analytics. Over 80 state-of-the-art research projects and reports, published from 2013 to 2017 and archived in IEEE Xplore, are listed. Focusing on student performance prediction and intervention, we highlight the data sets used, techniques employed, algorithms utilized, and particular information in each paper/project.
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教育分析:挑战与方法
我们对教育分析的现状进行了调查。本文列出了2013年至2017年发表的80多个最先进的研究项目和报告,并存档在IEEE Xplore中。在学生表现预测和干预方面,我们强调了每篇论文/项目中使用的数据集、采用的技术、使用的算法和特定信息。
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