Abstract
Chinese national sports is one of the important ways to carry out physical education for college students. It has various forms, rich internal and external, strong cultural connotation and time value. At present, the curriculum of this major in Colleges and universities is basically martial arts, and other courses are only as elective courses. Coupled with the lack of teachers, the development of national traditional sports in Colleges and universities is not optimistic. Therefore, the teaching and evaluation of national sports in Colleges and Universities Based on data mining algorithm should strengthen the competitiveness, make national sports activities full of ornamental, select national sports items suitable for colleges and universities, and strengthen the construction of national sports talent team.
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References
Shan, J., Liu, J., Li, J.: Research on the teaching mode of national traditional sports in colleges and universities from the perspective of traditional culture inheritance. J. Tianjin Univ. Tradit. Chin. Med. 31(6), 107–108 (2012)
Meng, X.: College sports teaching should focus on absorbing the essence of ethnic minority sports. Guizhou Nat. Stud. 36(6), 218–221 (2015)
Zhao, Q.: Research and design of intelligent teaching system model based on Web and data mining. Hunan Normal University (2007)
Li, W., Wu, S.: Ten Algorithms of Data Mining. University Press Beijing, Tsinghua (2013)
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, Q. (2021). Teaching and Evaluation of National Physical Education in Colleges and Universities Based on Data Mining Algorithm. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-030-87900-6_1
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DOI: https://doi.org/10.1007/978-3-030-87900-6_1
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