Real-Time Learning Analytics Dashboard for Students in Online Classes
Takuro Owatari, Atsushi Shimada, Tsubasa Minematsu, Maiya Hori, Rin-ichiro Taniguchi
Abstract
Takuro Owatari, Atsushi Shimada, Tsubasa Minematsu, Maiya Hori, Rin-ichiro Taniguchi
Abstract
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.
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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.
Key concepts: Dashboard, Learning analytics, Computer science, Analytics, Class (philosophy), Online learning, Data science, Face (sociological concept)