The Role of Learning Analytic in Education Reform

R. Dai, Wenzhou Zhejiang China Wenzhou Polytechnic
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Abstract

In year 2009, the nascent research community of Educational Data Mining (EDM) has been found to continually and increasingly grow. Now the education data mining has become popular and deeply studied in all universities. Specially, in United Kingdom, United State, Canada, they held several conferences annually on learning analytic discussion, which is related with Educational Data Mining. Learning analytics refers to the collection of large volume of data about students in an educational setting and to analyze the data to predict the students' future performance, identify risk and provide recommendations for improvement. LA is an increasingly emerging field, it is necessary for higher education stakeholders to become more familiar with the issues related to LA's use in education. Such a paper provides a brief introduction, methods and benefits, and challenges of LA.
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学习分析在教育改革中的作用
2009年,新兴的教育数据挖掘(EDM)研究社区不断增长。目前,教育数据挖掘已成为各高校研究的热点和热点。特别是在英国、美国、加拿大,他们每年都会召开几次与教育数据挖掘相关的学习分析讨论会议。学习分析是指在教育环境中收集大量关于学生的数据,并对这些数据进行分析,以预测学生未来的表现,识别风险并提供改进建议。洛杉矶语是一个新兴的领域,高等教育的利益相关者有必要更加熟悉与洛杉矶语在教育中的应用相关的问题。这篇论文提供了一个简单的介绍,方法和效益,以及挑战的LA。
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