학술논문

Real-Time Learning Analytics Dashboard for Students in Online Classes
Document Type
Conference
Source
2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) Teaching, Assessment, and Learning for Engineering (TALE), 2020 IEEE International Conference on. :523-529 Dec, 2020
Subject
Engineering Profession
General Topics for Engineers
Electronic publishing
Conferences
Education
Real-time systems
Synchronization
real-time analytics
real-time system
online lecture
learning behavior
Language
ISSN
2470-6698
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.