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

被引:0
|
作者
Ueda, Hiroshi [1 ]
Ho Tan Nguyen [2 ]
Bui, Huyen T. T. [2 ]
Thuy Thi Thu Tran [2 ]
Hatakeyama, Hisashi [1 ]
Hasnine, Mohammad Nehal [1 ]
机构
[1] Hosei Univ, Res Ctr Comp & Multimedia Studies, Koganei, Tokyo, Japan
[2] Hosei Univ, Grad Sch Sci & Engn, Koganei, Tokyo, Japan
关键词
geo-visualization; learning analytics in higher education; learning analytics outcomes; predictive models; review; smart learning environments;
D O I
10.1109/ICALT52272.2021.00109
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:342 / 344
页数:3
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