2018 International Conference of Green Buildings and Environmental Management | |
Research on Physical Education Teaching Quality Improvement Based on Clustering Analysis | |
土木建筑工程;生态环境科学 | |
Zhang, Wenjuan^1 | |
Tianjin University of Technology and Education, Tianjin | |
300222, China^1 | |
关键词: Clustering analysis; Evaluation systems; Improvement measure; Physical education; Physical education teaching qualities; Practical problems; Scientific knowledge; Scientific researches; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/186/6/012037/pdf DOI : 10.1088/1755-1315/186/6/012037 |
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来源: IOP | |
【 摘 要 】
With the ever-expanding scientific research scale and the influence of the trend of "integration, comprehensiveness and systematization" of modern scientific knowledge, the idea and enthusiasm of the common research topics among the disciplines in physical education (PE) have been activated. The physical education research gradually develops to a highly differentiated and integrated aspects of teaching scientific research, which has solved many complex theoretical and practical problems in the development of physical education. In order to further promote the nationwide fitness program, clustering analysis method has played an important role in physical education research for the implementation of the Olympic Games glory strategic plan. Hot topics in modern PE research, such as China's sustainable development of competitive PE research issues, China's national sports power and state policy research issues, competitive PE reserve personnel optimization training mode research issues etc. need to be highly integrated. By analyzing and discussing the existing problems and evaluation systems of China's physical education, this study aims to improve the theory of China's higher physical education evaluation system, and to provide a reference for exploring the improvement measures for the further study of PE teaching problems.
【 预 览 】
Files | Size | Format | View |
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Research on Physical Education Teaching Quality Improvement Based on Clustering Analysis | 304KB | download |