Visual Analysis and Comparison of Frontiers and Hotspots of Physical Education Teaching Research in China and America Based on Improved Genetic Algorithm Rough Sets

The scientific knowledge graph is an emerging research method in this context. In the research of physical education teaching, the research and sorting out of the research results of physical education teaching in my country from the perspective of scientometrics and information visualization is still slightly insufficient. The similarity between the frontiers of physical education teaching research in China and the United States in the past five years is that both countries have paid more attention to research topics such as physical education teaching methods and physical education courses. This paper proposes a rough set knowledge reduction algorithm based on improved genetic algorithm. The support and importance of conditional attributes to decision attributes are introduced into the information system, which are added to the genetic algorithm as heuristic information, and the concepts of population dissimilarity and individual dissimilarity are proposed to improve the genetic algorithm. The research on school physical education in my country is biased towards problem research, while the research on physical education teaching methods in the United States is biased towards student health; In addition, starting from the national conditions, the hotspots in the field of physical education teaching in my country tend to be “Sports and Health Curriculum Standards”, physical education teachers, physical education ideas, educational theories and college sports, while the hotspots in the field of physical education teaching in the United States tend to be physical activity, children and adolescents , students, women, exercise education, physical education, self-determination theory, and the integration of psychological motivation and physical education. Experimental data analysis my country’s physical education curriculum research should appropriately increase the attention to the details of physical education curriculum, and my country’s physical education teaching practice research should appropriately increase the research on physical education from the perspective of public health.

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Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2024-12-31
DOI
https://doi.org/10.61091/jcmcc123-06
Primary Topic
Educational Technology and Pedagogy
Type
article
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Visual Analysis and Comparison of Frontiers and Hotspots of Physical Education Teaching Research in China and America Based on Improved Genetic Algorithm Rough Sets

Y. S. Zhu, Yulin Kuang, Qi Niu
Journal of Combinatorial Mathematics and Combinatorial Computing
Educational Technology and Pedagogy
article

Visual Analysis and Comparison of Frontiers and Hotspots of Physical Education Teaching Research in China and America Based on Improved Genetic Algorithm Rough Sets

Y. S. Zhu, Yulin Kuang, Qi Niu
article en

Abstract

The scientific knowledge graph is an emerging research method in this context. In the research of physical education teaching, the research and sorting out of the research results of physical education teaching in my country from the perspective of scientometrics and information visualization is still slightly insufficient. The similarity between the frontiers of physical education teaching research in China and the United States in the past five years is that both countries have paid more attention to research topics such as physical education teaching methods and physical education courses. This paper proposes a rough set knowledge reduction algorithm based on improved genetic algorithm. The support and importance of conditional attributes to decision attributes are introduced into the information system, which are added to the genetic algorithm as heuristic information, and the concepts of population dissimilarity and individual dissimilarity are proposed to improve the genetic algorithm. The research on school physical education in my country is biased towards problem research, while the research on physical education teaching methods in the United States is biased towards student health; In addition, starting from the national conditions, the hotspots in the field of physical education teaching in my country tend to be “Sports and Health Curriculum Standards”, physical education teachers, physical education ideas, educational theories and college sports, while the hotspots in the field of physical education teaching in the United States tend to be physical activity, children and adolescents , students, women, exercise education, physical education, self-determination theory, and the integration of psychological motivation and physical education. Experimental data analysis my country’s physical education curriculum research should appropriately increase the attention to the details of physical education curriculum, and my country’s physical education teaching practice research should appropriately increase the research on physical education from the perspective of public health.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 123(1)
Quality Education
Openalex Percentile: Top 77%
Educational Technology and Pedagogy
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Visual Analysis and Comparison of Frontiers and Hotspots of Physical Education Teaching Research in China and America Based on Improved Genetic Algorithm Rough Sets — Y. S. Zhu, Yulin Kuang, et al. · Journal of Combinatorial Mathematics and Combinatorial Computing (2024) | TGRS Research Map | TGRS