Real-Time Learning Analytics Dashboard for Students in Online Classes

被引:5
作者
Owatari, Takuro [1 ]
Shimada, Atsushi [2 ]
Minematsu, Tsubasa [2 ]
Hori, Maiya [3 ]
Taniguchi, Rin-ichiro [2 ]
机构
[1] Kyushu Univ, Grad Sch Informat Sci & Elect Engn, Fukuoka, Japan
[2] Kyushu Univ, Fac Informat Sci & Elect Engn, Fukuoka, Japan
[3] Kyushu Univ, Platform Inter Transdisciplinaty Energy Res, Fukuoka, Japan
来源
PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON TEACHING, ASSESSMENT, AND LEARNING FOR ENGINEERING (IEEE TALE 2020) | 2020年
关键词
real-time analytics; real-time system; online lecture; learning behavior;
D O I
10.1109/TALE48869.2020.9368340
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
In recent years, online classes have been increasingly conducted in various situations. However, in these classes, especially non-face-to-face and large-scale ones, it is more difficult for teachers and students to understand the status of the class during a lecture. To address this issue, we propose a real-time learning analytics dashboard that provides summarized information on teachers' instruction and students' learning activities during lectures. In this article, we introduce the real-time learning analytics dashboard and report its effectiveness through experiments in an online class at our university.
引用
收藏
页码:523 / 529
页数:7
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