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http://dx.doi.org/10.18108/jeer.2021.24.6.79

A Study on Effective Team Learning Support in Non-Face-To-Face Convergence Subjects  

Jeon, Ju Hyun (Da Vinci College of General Education, Chungang University)
Publication Information
Journal of Engineering Education Research / v.24, no.6, 2021 , pp. 79-85 More about this Journal
Abstract
In a future society where cutting-edge science technology such as artificial intelligence becomes commonplace, the demand for talented people with basic knowledge of mathematics and science is expected to increase continuously, and the educational infrastructure suitable for the characteristics of future generations is still insufficient. In particular, in the case of students taking convergence courses including practical training, there was a problem in communication with the instructor. In this study, we looked at the current status of distance learning at domestic universities that came suddenly due to the global pandemic of COVID-19. In addition, a case study of the use of technology was conducted to facilitate the interaction between instructors and learners through case analysis of distance classes in convergence subjects. Therefore, this study aims to introduce the case of developing lecture contents for smooth convergence education in a non-face-to-face educational environment targeting the developed AI convergence courses and applying them to the education of enrolled students.
Keywords
Engineering education; Team-based learning; Flipped classroom; Convergence sbjects; Virtual laboratory;
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