doi: 10.18178/ijiet.2022.12.11.1738
Development of the Smart Transformer Detection Learning Kit Using IoT
Chanudon Chueapram1
,
Kanyama Kamata1 ,
Tanapoom Rueangphaisan1 ,
Yuwarat Srisupawong2 ,
Noritsugu Kamata3
- 1King Mongkut’s University of Technology Thonburi, Thailand
- 2National Broadcasting and Telecommunications Commission, Thailand
- 3Tokyo Denki University, Japan
Abstract
The Internet of Things (IoT) concept is one of the most popular concepts that can be applied from simple things to the smart appliances of today. IoT also helps human life to be more convenient and easier. IoT for learning and teaching in higher education is so important to help students gain their knowledge and experience before graduation and industrial work. An Introduction of IoT course for undergraduate students mostly focuses on the IoT concepts and fundamentals which may affect learners to understand well about the concepts. To apply those concepts into practice is still quite difficult for learners. This article proposes the development of a learning kit for the Smart Transformer Detection System using IoT as teaching material. The capability of this tool can help learners automatically detect and notify events using online tools. Moreover, it helps students monitor the transformer system with IoT concepts more clearly, practically, and understandingly. The study volunteered a sample group of students who used this kit in their learning and practices. Then, the sample did a survey on learning satisfaction. The results show that students were very satisfied with both accuracy of the work system and the quality of the learning kit.
Keywords
- Internet of things (IoT)
- learning kit
- transformer
- undergraduate students
How to Cite
Chanudon Chueapram, Kanyama Kamata, Tanapoom Rueangphaisan, Yuwarat Srisupawong, and Noritsugu Kamata, "Development of the Smart Transformer Detection Learning Kit Using IoT," International Journal of Information and Education Technology, vol. 12, no. 11, pp. 1191-1197, 2022. https://doi.org/10.18178/ijiet.2022.12.11.1738
Copyright & License
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).