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Research on Online Physical Education Micro Course System Based on Improved Machine Learning

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Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 339)

Abstract

At present, there are some problems in online physical education micro course system, such as the teaching effect is not ideal and students’ performance is low, so it is necessary to design a new online physical education micro course system based on improved machine learning. The hardware of the system consists of three interactive modules: information display unit, information processing unit and terminal interactive unit. The system software is composed of system user module, course management module, independent learning module, database module and online examination module. In the database module, six groups of information parameters, such as administrator information, course information and announcement information, are set. Using the improved machine learning method to design the online examination module. Through the combination of hardware and software, the online physical education micro course system is designed. The comparative experiment shows that the teaching effect of the system is better than that of the traditional system, and the sports performance is improved significantly.

Keywords

  • Improved machine learning
  • Online physical education
  • Teaching micro course system

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  • DOI: 10.1007/978-3-030-63952-5_20
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Correspondence to Chang-min Lv .

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Lv, Cm., Zhang, Xp., Ji, Jp. (2020). Research on Online Physical Education Micro Course System Based on Improved Machine Learning. 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 339. Springer, Cham. https://doi.org/10.1007/978-3-030-63952-5_20

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  • DOI: https://doi.org/10.1007/978-3-030-63952-5_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63951-8

  • Online ISBN: 978-3-030-63952-5

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