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Design of Distance Multimedia Physical Education Teaching Platform Based on Artificial Intelligence Technology

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

Abstract

The traditional neural network-based education platform has the problem of slow access to resources, which affects teaching efficiency. To this end, artificial intelligence technology is introduced for the design of distance multimedia sports teaching platforms. Through system hardware and software design, enhance the integration capability of the teaching platform, improve the controllability of the teaching platform, help the physical education platform to obtain more educational resources, accelerate the processing and integration analysis of educational information, and better assist teachers in developing physical education jobs. In order to verify the effectiveness of the method in this paper, the method in this paper is compared with the teaching platform based on neural network,the experimental results show that the platform can obtain resources quickly and has broad application prospects.

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Funding

Teaching Reform of Nanning College’s Sports “Club” Research on Quality Assurance System. Project number 2019JGB423.

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Correspondence to Yun-fei Qin .

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

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Mo, Lz., Qin, Yf., Li, Zz. (2020). Design of Distance Multimedia Physical Education Teaching Platform Based on Artificial Intelligence Technology. 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_26

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  • DOI: https://doi.org/10.1007/978-3-030-63955-6_26

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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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