PhD, Associate Professor D.V. Shcherbin¹
PhD, Associate Professor A.A. Tretyakov^{2, 3}
V.Yu. Putilina¹
M.V. Shilova^1
1Moscow Polytechnic University, Moscow
²Belgorod State National Research University, Belgorod
³Belgorod Law Institute of Ministry of the Internal of the Russian Federation named after I.D. Putilin, Belgorod

Objective of the study was to compare and evaluate the effectiveness of using programs based on artificial intelligence in the construction of training sessions in athletic gymnastics among amateurs.
Methods and structure of the study. The research was conducted at the FIFTYGIM fitness club in Moscow. A mature woman and man who regularly practice athletic gymnastics took part in the study. The following indicators were proposed to evaluate the effectiveness of the artificial intelligence-based programs: body weight and muscle mass were determined using the Omron BF-508 Body Composition Monitor; heart rate and blood pressure were measured using an Omron automatic tonometer; emotional state was assessed using the SAN method.
Results and conclusions. During the study, muscle mass indicators gradually increase in the context of training with a trainer, in contrast to training with AI. The total body mass indicator changes in a similar way. The indicators for the man do not change as quickly. And it can be said that during the study, significant changes cannot be noted. Although, given his opinion, he preferred training with AI. Despite the perfection of software, human qualities remain a priority when organizing physical education classes in sports. Perhaps the only and correct option will be a symbiosis of both approaches. When an experienced professional trainer uses artificial intelligence to clarify some issues.

Keywords: physical education, athletic gymnastics, artificial intelligence, training process, trainer, optimization.

References

1. Dvorkin, L. S. (2024). Atleticheskaya gimnastika. Metodika obucheniya [Athletic gymnastics. Teaching methods]. Moscow: Yurayt.
2. Egiazaryan, A. A., Korolev, P. V., Grigoryev, V. A., et al. (2024). Tsifrovyye tekhnologii v fizicheskom vospitanii studentov: opyt ispolzovaniya mobilnogo prilozheniya [Digital technologies in physical education of students: experience of using a mobile application during distance learning]. Teoriya i praktika fizicheskoy kultury, 2, 61–63.
3. Ermakov, A. V., Skarzhinskaya, E. N., & Novoselov, M. A. (2022). Tsifrovaya transformatsiya professiy v otrasli «Fizicheskaya kultura i sport» [Digital transformation of professions in the industry «Physical Education and Sports»]. Teoriya i praktika fizicheskoy kultury, 3, 6–8.
4. Zenkova, T. A. (2022). Tsifrovyye tekhnologii v sportivnoy industrii [Digital technologies in the sports industry]. In Prepodavatel vysshey shkoly v ХХI veke [Higher education teacher in the XXI century] (pp. 233–238). Rostov-on-Don.
5. Makarova, E. V., Zheleznyakova, M. V., Cherkasova, E. V., & Shcherbakova, E. E. (2023). Programmirovaniye fizkulturno-ozdorovitelnykh zanyatiy aerobikoy so studentkami razlichnogo urovnya fizicheskogo sostoyaniya [Programming physical education and health aerobic classes with female students of different levels of physical condition]. Chelovek. Sport. Meditsina, 23(4), 102–108.
6. Petrov, P. K. (2023). Vozmozhnosti i problemy tsifrovoy transformatsii fizkulturnogo obrazovaniya i sfery fizicheskoy kultury i sporta [Possibilities and problems of digital transformation of physical education and the sphere of physical culture and sports]. Vestnik Udmurtskogo universiteta. Seriya Filosofiya. Psikhologiya. Pedagogika, 33(2), 162–173.
7. Popova, E. A. (2022). Ispolzovaniye tsifrovykh tekhnologiy na osnove iskusstvennogo intellekta v podgotovke prepodavateley fizicheskoy kultury obrazovatelnykh organizatsiy [Use of digital technologies based on artificial intelligence in training physical education teachers of educational organizations]. Sovremennaya shkola Rossii. Voprosy modernizatsii, 3-1(40), 156–157.