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Article type: Research Article
Authors: Yang, Wenqiana | Li, Chengb; *
Affiliations: [a] School of Education and Human Development, University of Miami, Miami, TX, USA | [b] College of General Education, Chongqing Youth Vocational and Technical College, Chongqing, China
Correspondence: [*] Corresponding author: Cheng Li, College of General Education, Chongqing Youth Vocational & Technical College, Chongqing, China. E-mail: licheng_edu@outlook.com.
Abstract: This study aims to evaluate the quality of physical education in colleges and universities by using the evaluation method based on fuzzy logic. First, summarize the basic concept of fuzzy logic and its application in the evaluation process. Then, a physical education quality evaluation index system covering teaching quality and students’ physical quality, teachers’ team construction, sports facilities and management is constructed. Then, the evaluation object and evaluation level are determined, and the specific evaluation results and ranking are calculated by fuzzy comprehensive evaluation model. In the empirical analysis, use the simulation data for model application and result analysis, and further find the problems existing in college physical education. Finally, in view of these problems, a series of improvement and optimization suggestions are put forward. This study shows that the evaluation method of physical education quality based on fuzzy logic can effectively reflect the diversity and complexity of education quality, and provide a practical evaluation tool for colleges and universities. At the same time, this study also provides a reference for other universities to help them better understand their own problems, so that they can take effective measures to improve. In addition, this method can be applied to other fields of education quality evaluation in the future, so as to provide more useful information for education reform and development.
Keywords: Physical education in colleges and universities, quality evaluation, fuzzy logic, index system, comprehensive evaluation model
DOI: 10.3233/JCM-237029
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 1, pp. 165-181, 2024
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