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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/9943989 |
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| _version_ | 1832550832862658560 |
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| author | Zhiqiang Chen Qingguo Chen |
| author_facet | Zhiqiang Chen Qingguo Chen |
| author_sort | Zhiqiang Chen |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5e0f327671ed4b8e8827104db1a88ab4 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-5e0f327671ed4b8e8827104db1a88ab42025-02-03T06:05:42ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/99439899943989Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation ModelZhiqiang Chen0Qingguo Chen1Physical Education, Baicheng Normal University, Baicheng 137000, ChinaPhysical Education, Jilin Normal University, Jilin 136000, ChinaThe 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.http://dx.doi.org/10.1155/2021/9943989 |
| spellingShingle | Zhiqiang Chen Qingguo Chen Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model Complexity |
| title | Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model |
| title_full | Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model |
| title_fullStr | Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model |
| title_full_unstemmed | Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model |
| title_short | Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model |
| title_sort | optimization of teaching evaluation system for football professional teachers based on multievaluation model |
| url | http://dx.doi.org/10.1155/2021/9943989 |
| work_keys_str_mv | AT zhiqiangchen optimizationofteachingevaluationsystemforfootballprofessionalteachersbasedonmultievaluationmodel AT qingguochen optimizationofteachingevaluationsystemforfootballprofessionalteachersbasedonmultievaluationmodel |