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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Auerbach, J.E., Concordel, A., Kornatowski, P.M., et al.: Inquiry-based learning with RoboGen: an open-source software and hardware platform for robotics and artificial intelligence. IEEE Trans. Learn. Technol. PP(99), 1 (2018)
Eslamizadeh, G., Barati, R.: Heart murmur detection based on wavelet transformation and a synergy between artificial neural network and modified neighbor annealing methods. Artif. Intell. Med. 78, 23–40 (2017)
Jin, R., Luk, K.D., Pui, J., Cheung, J., et al.: Prognosis of cervical myelopathy based on diffusion tensor imaging with artificial intelligence methods. NMR Biomed. 32(2), e4114 (2019)
Feng, Z.: Deep-time digital basin based on big data and artificial intelligence. Acta Geol. Sinica (Engl. Ed.) 93(z1), 14–16 (2019)
Mortazavi, A., Toğan, V., Nuhoğlu, A.: Interactive search algorithm: a new hybrid metaheuristic optimization algorithm. Eng. Appl. Artif. Intell. 71, 275–292 (2018)
Liu, L.: The research of highly effective wrestling educational model based on optimized theory technology. Revista De La Facultad De Ingenieria 14(1), 37–41 (2017)
Vasilopoulos, N., Kavallieratou, E.: Complex layout analysis based on contour classification and morphological operations. Eng. Appl. Artif. Intell. 65, 220–229 (2017)
Moret-Bonillo, V.: Emerging technologies in artificial intelligence: quantum rule-based systems. Progress Artif. Intell. 1–12 (2018)
Ma, X., Liu, Q., Zhan, J.: A survey of decision making methods based on certain hybrid soft set models. Artif. Intell. Rev. 47(4), 507–530 (2017)
Doble, C., Matayoshi, J., Cosyn, E., et al.: A data-based simulation study of reliability for an adaptive assessment based on knowledge space theory. Int. J. Artif. Intell. Educ. 29(2), 258–282 (2019)
Funding
Teaching Reform of Nanning College’s Sports “Club” Research on Quality Assurance System. Project number 2019JGB423.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-63955-6_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-63954-9
Online ISBN: 978-3-030-63955-6
eBook Packages: Computer ScienceComputer Science (R0)