A Study on the Usefulness of Stochastic Simulation Algorithms for Teaching and Learning in College Physical Education Classrooms

In order to address the problem of the absolute nature of the evaluation of superiority and inferiority in the evaluation of physical education classroom in universities and the problem of inconsistency in the conclusion of multiple evaluations, we develop an “autonomous advantage evaluation method...

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Bibliographic Details
Published in:Mathematical problems in engineering Vol. 2022; pp. 1 - 6
Main Author: Xu, Ju
Format: Journal Article
Language:English
Published: New York Hindawi 23.09.2022
John Wiley & Sons, Inc
Subjects:
Algorithms
Classrooms
Colleges & universities
Education
Hypotheses
Machine learning
Mathematical problems
Optimization
Physical education
Physical fitness
Probability theory
Simulation
Students
Teaching methods
ISSN:1024-123X, 1563-5147
Online Access:Get full text
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Summary:In order to address the problem of the absolute nature of the evaluation of superiority and inferiority in the evaluation of physical education classroom in universities and the problem of inconsistency in the conclusion of multiple evaluations, we develop an “autonomous advantage evaluation method to highlight one's own advantages,” which uses a probabilistic stochastic simulation algorithm to evaluate the advantages of the evaluated objects by calculating the degree of superiority among them. The method is based on an innovative “base to top” approach, with a high degree of independence. The method was validated by means of an algorithm, and the conclusions were obtained with probabilistic information.
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ISSN:1024-123X
1563-5147
DOI:10.1155/2022/2779909