Application of Learning Analytics in Higher Educational Institutions

J. Mustafina, L. Galiullin, D. Al-Jumeily, Egor Petrov, M. Alloghani, A. Kaky
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引用次数: 7

Abstract

This article considers how teachers and university administrators can use a significant amount of data stored in the information systems of institutions. Intelligent analysis of these learning processes is of great use in the higher education system. The use of learning analytics (LA) by a large number of higher educational institutions shows the interest and participation of universities in this matter. Learning analytics can tell a lot about the progress of students and the environment in which learning takes place. Intellectualization of educational analytics will help provide predictive models that can serve as a basis for quality assurance and quality improvement. This article gives an idea of the current level of LA development at the international level. The article also draws conclusions about the problems and limitations associated with learning analytics (LA). The existing experience has been studied, and the conclusion have been made about the existing limitations that prevent the wider use of LA.
学习分析在高等教育机构中的应用
本文考虑了教师和大学管理人员如何使用存储在机构信息系统中的大量数据。这些学习过程的智能分析在高等教育系统中有很大的用处。大量高等教育机构对学习分析(LA)的使用表明了大学对这一问题的兴趣和参与。学习分析可以告诉我们很多关于学生的进步和学习发生的环境。教育分析的智能化将有助于提供可作为质量保证和质量改进基础的预测模型。本文从国际层面对洛杉矶的发展现状进行了概述。本文还总结了与学习分析(LA)相关的问题和局限性。对现有的经验进行了研究,并得出了阻碍LA广泛应用的现有局限性的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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