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Research on the Application of Artificial Intelligence Technology in the Quality Evaluation of Experiential Physical Education

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e-Learning, e-Education, and Online Training (eLEOT 2020)

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Abstract

In order to improve the teaching quality of experiential physical education, a new method of teaching quality evaluation is designed, and the quantitative analysis of quality evaluation is realized by using artificial intelligence technology. First determine the teaching quality evaluation standard. In the process of physical education teaching, we use artificial intelligence technology to collect motion data, and realize the recognition and analysis of motion data from two aspects of image and voice. The evaluation system of experiential physical education quality is constructed and the evaluation index is set under the system. The specific value of the evaluation index and the corresponding weight value are calculated respectively, the quantitative result of the comprehensive evaluation index is compared with the evaluation standard, and finally the evaluation result of the quality of physical education is obtained. Through the test and analysis of the applied experiment, it is found that the application of artificial intelligence technology to the teaching quality evaluation method can effectively improve the authority of the evaluation results and indirectly improve the teaching quality of college physical education.

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Authors and Affiliations

  1. Physical Education Department of Shaanxi, University of Traditional Chinese Medicine, Xianyang, 712046, China

    Tian Xiong

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  1. Tian Xiong
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Correspondence to Tian Xiong .

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Editors and Affiliations

  1. Human Normal University, Changsha, China

    Shuai Liu

  2. Harbin University, Harbin, China

    Guanglu Sun

  3. Hunan Normal University, Changsha, China

    Weina Fu

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xiong, T. (2020). Research on the Application of Artificial Intelligence Technology in the Quality Evaluation of Experiential Physical Education. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 340. Springer, Cham. https://doi.org/10.1007/978-3-030-63955-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-63955-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63954-9

  • Online ISBN: 978-3-030-63955-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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