Briefing and Geovisualizing on International Practices of Learning Analytics in Higher Education

Hiroshi Ueda, Ho Tan Nguyen, Huy Bui, T. Tran, Hisashi Hatakeyama, M. N. Hasnine
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Abstract

In higher education, learning analytics is trending for transforming teaching behavior, uncovering information on the human learning process, understanding factors for smart learning environments, and addressing artificial intelligence issues in education. During the last decade, learning analytics has been practiced in many educational institutions worldwide, resulting in many success stories. This paper is based on a pre-selected 49 articles published in the last decade where learning management systems and smart learning environments are used to collect data and analyze using data-driven methods to support learning analytics principles. However, an emphasis is given to 15 articles found between 2017 to 2020 in Asia, North and South America, the UK, and European higher educational contexts as JISC 2017 report briefed on the earlier practices. The findings from the 15 international practices are discussed and visualized using the geo-visualization method.
高等教育中学习分析的国际实践简报和地理可视化
在高等教育中,学习分析正在转变教学行为,揭示人类学习过程的信息,理解智能学习环境的因素,以及解决教育中的人工智能问题。在过去的十年中,学习分析在世界各地的许多教育机构中得到了实践,产生了许多成功的故事。本文基于过去十年中发表的49篇文章,其中使用学习管理系统和智能学习环境来收集数据并使用数据驱动方法进行分析,以支持学习分析原则。然而,重点是2017年至2020年间在亚洲、北美和南美、英国和欧洲高等教育背景下发现的15篇文章,因为JISC 2017年报告简要介绍了早期的实践。本文讨论了15项国际实践的结果,并使用地理可视化方法将其可视化。
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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