Cloud-Edge Computing Technology-Based Internet of Things System for Smart Classroom Environment
DOI:
https://doi.org/10.3991/ijet.v18i08.28299Keywords:
smart classroom environment, IoT, cloud-edge computing, smart classroom, edge node, cloud platformAbstract
In view of the main challenges faced by the realization of smart classroom environment in classroom teaching, such as inconvenient use of equipment, inability to comprehensively obtain multi-source heterogeneous data in real time, and lack of effective support for smart teaching, an IoT system archi-tecture based on cloud-edge computing technology is proposed. The system architecture consists of four parts: sensor layer, edge computing layer, core network layer and platform application layer, which are respectively used to obtain multi-source heterogeneous data, configure edge nodes on demand, transfer information and provide various educational services. A question-naire survey was adopted to investigate the teachers and students in the smart classrooms of Central China Normal University where the proposed system was implemented. The results showed that the overall satisfaction of students and teachers is high. Among them, 100.00% of teachers and 97.14% of students agreed that the system can effectively collect educational data and give students feed-back; 96.00% of teachers and 91.43% of students believed that it can pro-mote classroom teaching and bring pleasant experience to teachers and stu-dents. In brief, the proposed solution is completely practicable and can pro-vide a reference for the research, construction and application of smart classrooms.
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Published
2023-04-25
How to Cite
Dai, Z., Zhang, Q., Zhao, L., Zhu, X., & Zhou, D. (2023). Cloud-Edge Computing Technology-Based Internet of Things System for Smart Classroom Environment. International Journal of Emerging Technologies in Learning (iJET), 18(08), pp. 79–96. https://doi.org/10.3991/ijet.v18i08.28299
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Copyright (c) 2023 Zhicheng Dai, Qianqian Zhang, Mingyang He, Dongbo Zhou, Liang Zhao, Xiaoliang Zhu
This work is licensed under a Creative Commons Attribution 4.0 International License.