Physical Education Teaching Quality Evaluation Method Using Collaborative Edge Computing and Social Internet of Things

Shaopeng Hu
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Shaopeng Hu: Anyang University, China

International Journal of Distributed Systems and Technologies (IJDST), 2022, vol. 13, issue 7, 1-23

Abstract: A quality assessment technique for physical education and digital hybrid learning application of mobile edge devices is presented to improve physical education and evaluation hybrid instruction. As a result, the primary goal of this study is to showcase the rapid gains of social internet of things (SIoT) materials for applications and to provide various challenges and opportunities for future cases with collaborative edge computing (CEC). This work creates the quality assessment indicator system of mixed physical and digital evaluation based on aim, index, the value of the index, and assessment standard. Collaborative edge computing and social internet of things in the classroom for research into the use of SIoT and its implementations in underdeveloped nations is strongly encouraged, according to the findings of this study by increasing 28.1% enhancement. The fuzzy extensive analysis methodology is employed to successfully achieve the hybrid physical training quality assessment and digital evaluation method.

Date: 2022
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