Abstract
With the development of the times, big data technology has been applied to all fields of society. This article discusses the feasibility of a university sports concept learning auxiliary platform based on big data technology. In this paper, four classes are selected for comparative experiments, the teaching methods of two classes are not changed, and the other two classes introduce the sports concept learning auxiliary platform into physical education. Through experiments, students were scored in terms of sports participation, physical health, and sports in terms of skills, mental health and social adaptation. The results showed that after the experiment, the average scores of the two control groups were 76.2 and 76.8, and the average scores of the two experimental groups were 87 and 86.6, respectively. It can be seen that the physical education concept learning auxiliary platform can achieve good results in physical education. In addition, this article also conducted expert interviews to explore the path to the construction of university sports concept teaching. The results show that under the current situation, sports concepts should be changed, emphasizing the inheritance and innovation of traditional sports culture, improving the level of sports teachers and students, and the gymnasium should manage the exhibition space. It should be designed reasonably.
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He, B., Zhong, J. (2022). Design and Implementation of Auxiliary Platform for College Students’ Sports Concept Learning Based on Intelligent System. In: J. Jansen, B., Liang, H., Ye, J. (eds) International Conference on Cognitive based Information Processing and Applications (CIPA 2021). Lecture Notes on Data Engineering and Communications Technologies, vol 84. Springer, Singapore. https://doi.org/10.1007/978-981-16-5857-0_86
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DOI: https://doi.org/10.1007/978-981-16-5857-0_86
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