Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model

The introduction of multiple intelligence theory into sports professional football teaching is a requirement of educational innovation, which helps to expand and play the multiple functions of football, and can effectively improve the comprehensive quality of football professional science. Under the...

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Veröffentlicht in:Complexity (New York, N.Y.) Jg. 2021; H. 1
Hauptverfasser: Chen, Zhiqiang, Chen, Qingguo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken Hindawi 2021
John Wiley & Sons, Inc
Wiley
Schlagworte:
Acceptable noise levels
Algorithms
College campuses
College football
Colleges & universities
Curricula
Democratization
Education
Educational materials
Evaluation
Food chains
Football
Football (College)
High school football
Innovations
Iterative methods
Learning
Mathematical analysis
Mathematical optimization
Methods
Middle schools
Optimization
Organization theory
Particle swarm optimization
Physical education teachers
Sports
Students
Swarm intelligence
Teachers
Teaching
Teaching methods
Beijing China
China
ISSN:1076-2787, 1099-0526
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Abstract The introduction of multiple intelligence theory into sports professional football teaching is a requirement of educational innovation, which helps to expand and play the multiple functions of football, and can effectively improve the comprehensive quality of football professional science. Under the perspective of multiple intelligence theory, college sports professional football teaching will focus on the all-round development of students, actively cultivate students’ multiple intelligence, and reflect the democratization, individualization, and diversification of teaching in the process of educational concept innovation. This article explains the origin and characteristics of the particle swarm optimization algorithm and discusses the application status of the PSO algorithm in detail. We introduced the standard PSO algorithm, including mathematical forms, iteration steps, and flowcharts. In addition, it also specifically describes the proposed new PSO improved algorithm, including the food chain strategy and reproduction strategy, as well as the implementation of the algorithm. Through analysis, it is concluded that the implementation and implementation of relevant systems is the guarantee for the sustained and sound development of campus football. The amount of football lessons is insufficient, and the classroom teaching effect is not ideal. Physical education teachers are acceptable, but the football professional knowledge training of physical education teachers needs to be strengthened. The selection and setting of the teaching content of football lessons lack systematic, scientific, and adaptable, and the teaching methods and teaching model concepts are backward. In the process of football teaching, teachers ignored the evaluation and assessment of students’ nonphysical and nonintellectual factors, and campus football activities did not achieve the expected goals.
AbstractList The introduction of multiple intelligence theory into sports professional football teaching is a requirement of educational innovation, which helps to expand and play the multiple functions of football, and can effectively improve the comprehensive quality of football professional science. Under the perspective of multiple intelligence theory, college sports professional football teaching will focus on the all-round development of students, actively cultivate students’ multiple intelligence, and reflect the democratization, individualization, and diversification of teaching in the process of educational concept innovation. This article explains the origin and characteristics of the particle swarm optimization algorithm and discusses the application status of the PSO algorithm in detail. We introduced the standard PSO algorithm, including mathematical forms, iteration steps, and flowcharts. In addition, it also specifically describes the proposed new PSO improved algorithm, including the food chain strategy and reproduction strategy, as well as the implementation of the algorithm. Through analysis, it is concluded that the implementation and implementation of relevant systems is the guarantee for the sustained and sound development of campus football. The amount of football lessons is insufficient, and the classroom teaching effect is not ideal. Physical education teachers are acceptable, but the football professional knowledge training of physical education teachers needs to be strengthened. The selection and setting of the teaching content of football lessons lack systematic, scientific, and adaptable, and the teaching methods and teaching model concepts are backward. In the process of football teaching, teachers ignored the evaluation and assessment of students’ nonphysical and nonintellectual factors, and campus football activities did not achieve the expected goals.
Audience Academic
Author Chen, Qingguo
Chen, Zhiqiang
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Cites_doi 10.1109/TII.2020.2998818
10.1134/s1054661820040094
10.1249/jsr.0000000000000797
10.1016/j.amc.2015.06.036
10.1089/big.2018.0094
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ContentType Journal Article
Copyright Copyright © 2021 Zhiqiang Chen and Qingguo Chen.
COPYRIGHT 2021 John Wiley & Sons, Inc.
Copyright © 2021 Zhiqiang Chen and Qingguo Chen. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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Snippet The introduction of multiple intelligence theory into sports professional football teaching is a requirement of educational innovation, which helps to expand...
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SubjectTerms Acceptable noise levels
Algorithms
College campuses
College football
Colleges & universities
Curricula
Democratization
Education
Educational materials
Evaluation
Food chains
Football
Football (College)
High school football
Innovations
Iterative methods
Learning
Mathematical analysis
Mathematical optimization
Methods
Middle schools
Optimization
Organization theory
Particle swarm optimization
Physical education teachers
Sports
Students
Swarm intelligence
Teachers
Teaching
Teaching methods
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Title Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model
URI https://dx.doi.org/10.1155/2021/9943989
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https://doaj.org/article/5e0f327671ed4b8e8827104db1a88ab4
Volume 2021
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