Design of Interactive Teaching System of Physical Training Based on Artificial Intelligence

Min Xu (), DongAo Liu and Yan Zhang ()
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Min Xu: Sports Teaching Department, Shanghai University of Finance and Economics, Shanghai 200433, P. R. China
DongAo Liu: Sports Teaching Department, Shanghai University of Finance and Economics, Shanghai 200433, P. R. China
Yan Zhang: Sports Teaching Department, Shanghai University of Finance and Economics, Shanghai 200433, P. R. China

Journal of Information & Knowledge Management (JIKM), 2022, vol. 21, issue Supp02, 1-16

Abstract: Nowadays, with the continuous change and innovation of teaching methods in Colleges and universities, the curriculum system of students is also constantly enriched and developed. Therefore, people’s requirements for teaching management and teaching system are also improving. Physical education curriculum is usually based on outdoor teaching, and some schools have not established a complete teaching system. Therefore, the interactive teaching system of physical training based on artificial intelligence is designed. First of all, through the construction of the interactive teaching system of the total control circuit, determine the corresponding circuit address decoding, improve the audio control circuit, associated video connection interactive drive three parts, the intelligent sports training interactive system hardware design. Then, through the creation of intelligent training function module, the design of training database and the realisation of effective training and teaching of intelligent sports, the software design of intelligent sports training interactive system is carried out. Finally, through the test of the system, to verify the corresponding effect, further improve the relevant system, make it more safe and accurate, improve the efficiency of sports training interactive system, enhance the integrity of the teaching process.

Keywords: Artificial intelligence; physical training; interactive teaching; system design (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219649222400214

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