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

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

Shaopeng Hu
Copyright: © 2022 |Pages: 23
DOI: 10.4018/IJDST.307951
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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.
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Introduction To Physical Education

The major techniques of teaching physical education classes in junior high school are academic knowledge instruction and actual instruction of physical abilities. Most blackboard-based instruction and activities teach basic conceptual knowledge (Bao et al., 2021). The SIoT is transforming our daily lives. As opposed to previous innovations, collaborative edge computing promotes intelligent and autonomous solutions.Wrong sporting awareness is established via the practice of sports skills, and it uses an information-based approach to education (Goad et al., 2021). It's not like typical classroom instruction or online video open classes.

Instructors could use the instructional model to allow learners to study physical training material more subjectively and intensely through the website and hypermedia, and use advanced analytics features to understand the advancement and scenario of learning outcomes in real-time, enhance physical training teaching, and effectively change the deficits of conventional physical training teaching (Kim et al. 2021). This teaching style significantly boosts students' enthusiasm to explore and acquire sports knowledge, transforms participants learning techniques, enhances the students' capacity to acquire physical abilities, and enhances elementary and middle school teaching outcomes (Meulenbroeks et al. 2020).Because of the fuzzy interference system and cloud computing model, the proposed PETQEM yields better results. Increasing the number of test tasks results in a decrease in system performance because of the increased physical activity. LDA has a significantly longer evaluation time than the proposed PETQEM model.

The use of physical and digital hybrid education properly represents instructors' leading roles while fully mobilizing students' perceived effort, cultivating students' independent learning capacity, and improving teaching effectiveness (Chambers et al., 2018). Physical education classes focus primarily on acquiring technical motions and practice, and hence the hybrid approach to teaching is better suited to these classes. Its use strengthens the display related to teaching abilities, raises the amount of education and learning, and successfully supports teaching's long-term growth (Chen et al. 2020).As a result of this paradigm shift, the Internet will communicate with billions of objects and devices via Machine-to-Machine (M2M) communication in SIoT. The nature of reality is being brought online at an ever-increasing rate.

The hybrid training model is a revolutionary teaching method wherein students get learning materials via online learning, blended with physical instruction to gain information and increase their learning impact (Chao et al., 2021). It uses the element as an output side, and students use it to preview study and practice by watching video clips and other associated learning resources online (Alfoudari et al., 2021). As per cognitive neuroscience, the hybrid training method has a specific teaching functionality: an organized electronic resource that delivers fragmentary educational content, learning processes, and extended resources in real-world contexts.It is appropriate to use physical and digital hybrid education to represent instructors' leading roles while fully mobilizing students' perceived effort and cultivating students' independent learning capacity, and to improve teaching effectiveness using SIoT.

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