Abstract
With the development of China's economy, the development of science and technology changes with each passing day. In various industries, the use of computers is becoming more and more common. The cloud platform is built on virtual technology, and people can use the data stored in the computer without being restricted by space and time. Multimedia network teaching platform plays an important role in college teaching. The multimedia network teaching platform in sports has also been paid more and more attention. This paper analyzes the application of the cloud platform multimedia network teaching platform in college physical education, and proposes the use of artificial intelligence robots to improve the teaching quality of physical education courses, which is conducive to the development and promotion of scientific and technological achievements. The use of cloud platforms can make resources fully shared and teaching methods more vivid and enriched. In addition, this is conducive to improving the level of teaching.
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References
Zhou, B.: smart classroom and multimedia network teaching platform application in college physical education teaching. Int. J. Smart Home 10(10), 145–156 (2016)
Hu, C.: Application of E-learning assessment based on AHP-BP algorithm in the cloud computing teaching platform. Int. J. Emerg. Technol. Learn. 11(8), 27 (2016)
Cai, X., Cai, X., Cai, X.: Optimization of foreign language learning teaching model and multidimensional evaluation based on online cloud platform. Boletin Tecnico/Tech. Bull. 55(7), 569–575 (2017)
Yin, Y.: The influence of MOOC in the cultivation of the college students of electrical engineering based on the cloud platform and moodle. Open Electr. Electron. Eng. J. 9(1), 534–539 (2015)
Chang, D.M., Hsu, T.C., Lee, H.J.: Prototype development approach based on application of Program Design in cloud platform. Front. Artif. Intell. Appl. 274(7–8), 1875–1884 (2015)
Chen, Y., Chen, Y., Cao, Q., Yang, X.: PacketCloud: a cloudlet-based open platform for in-network services. IEEE Trans. Parallel Distrib. Syst. 27(4), 1146–1159 (2016)
Zhao, N., Xia, M., Xu, Z., Mi, W., Shen, Y.: A cloud computing-based college-enterprise classroom training method. World Trans. Eng. Technol. Educ. 13(1), 116–120 (2015)
Li, X.: Study on the influence of network multimedia on college aerobics and its countermeasures. Boletin Tecnico/Tech. Bull. 55(4), 243–251 (2017)
Hu, H., Zheng, J.: Application of teaching quality assessment based on parallel genetic support vector algorithm in the cloud computing teaching system. Int. J. Emerg. Technol. Learn. 11(8), 16 (2016)
Zeng, L., Sun, Y., Ye, Q., Qi, B., Li, B.: A centralized demand response control strategy for domestic electric water heater group based on appliance cloud platform. IEEJ Trans. Electr. Electron. 12(52), S16–S22 (2017)
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Pan, H. (2022). Research on Assistant Application of Artificial Intelligence Robot Coach in University Sports Courses. In: Liu, Q., Liu, X., Chen, B., Zhang, Y., Peng, J. (eds) Proceedings of the 11th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-16-6554-7_27
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DOI: https://doi.org/10.1007/978-981-16-6554-7_27
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