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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.

In the version of this paper that was originally published the names of Y.-f. Qin and L.-z. Mo have been corrected to Yun-fei Qin and Lu-zhen Mo.

Some studies have shown that basketball can promote the development of young children’s nervous system, exercise their physical coordination ability, allow young children to have a team awareness, increase young children’s social time, and establish social relationships. However, there is a problem of high system resource consumption level in the traditional visualized teaching system for infant basketball courses. Therefore, a data-driven visualized teaching system design for infant basketball courses is proposed. The hardware part adopts the intelligent display terminal DMT80480507OSW to realize human-computer interaction, which allows children to increase learning interest through human-computer interaction. The software part uses data compression algorithms to compress basketball course resource data. After testing, the feasibility of the design system was proved to provide richer teaching resources for children’s basketball courses.

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