OLIY TA’LIM MUASSASALARIDA BASKETBOL MASHG‘ULOTLARINI TASHKIL ETISHDA SUN’IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISH
Annotatsiya
Ushbu maqolada oliy ta’lim muassasalarida basketbol mashg'ulotlarini tashkil etishda sun'iy intellekt (SI) texnologiyalaridan foydalanish imkoniyatlari ilmiy jihatdan tahlil qilinadi. Metodlar: adabiyotlarni tizimli tahlil qilish, qiyosiy tahlil va nazariy umumlashtirish metodlaridan foydalanildi. Natijalar: kompyuter ko‘rish, mashina o‘qitish, GPS-monitoring va chuqur o‘qitish texnologiyalari basketbol mashg'ulotlarida texnik xatolarni 35-42 foizga kamaytirishi, shikastlanish xavfini 28 foizga pasaytirishi hamda raqib tahlilini 60-70 foiz tezlashtirishi aniqlandi. Xulosa: SI texnologiyalarini bosqichli joriy etish O‘zbekiston oliy ta’lim muassasalarida basketbol tayyorgarligining sifatini sezilarli darajada oshirish imkonini beradi.
Kalit so'zlar
Foydalanilgan adabiyotlar
1. O‘zbekiston Respublikasi Prezidentining 2020-yil 3-fevraldagi PF-5966-son "O‘zbekiston Respublikasida jismoniy tarbiya va sport sohasini rivojlantirish konsepsiyasini tasdiqlash to‘g‘risida" farmoni. -Toshkent, 2020.
2. Axmedov A.B. Zamonaviy sport texnologiyalari. -Toshkent: O‘zbekiston, 2022. -180 b.
3. Xoliqov N.S., Yusupov M.A. Raqamli texnologiyalar va sport. -Toshkent: TDPU, 2022. -128 b.
4. Alamar J.C. (2013). A Study of the Factors that Determine the NBA's Most Valuable Player Award. Journal of Quantitative Analysis in Sports, 9(1), 37–49. https://doi.org/10.1515/jqas-2012-0008
5. Bunker R., Thabtah F. (2019). A Machine Learning Framework for Sport Result Prediction. Applied Computing and Informatics, 15(1), 27–33. https://doi.org/10.1016/j.aci.2017.09.005
6. Claudino J.G., Capanema D.O., de Souza T.V., Serrão J.C., Machado Pereira A.C., Nassis G.P. (2019). Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports. Sports Medicine -Open, 5(1),
28. https://doi.org/10.1186/s40798-019-0202-3
7. Figueiredo P., Nassis G.P., Brito J. (2021). Within-individual Correlation Between Salivary IgA and Measures of Training Load in Youth Football Players. International Journal of Sports Physiology and Performance, 16(4), 596–600. https://doi.org/10.1123/ijspp.2019-0897
8. Gudmundsson J., Horton M. (2017). Spatio-temporal Analysis of Team Sports. ACM Computing Surveys, 50(2), Article
22. https://doi.org/10.1145/3054132
9. Rein R., Memmert D. (2016). Big Data and Tactical Analysis in Elite Soccer: Future Challenges and Opportunities for Sports Science. SpringerPlus, 5(1), 1410. https://doi.org/10.1186/s40064-016-3108-2
10. Rossi A., Pappalardo L., Cintia P., Iaia F.M., Fernández J., Medina D. (2018). Effective Injury Forecasting in Soccer with GPS Training Data and Machine Learning. PLOS ONE, 13(7), e0201264. https://doi.org/10.1371/journal.pone.0201264
11. Sampaio J., Maçãs V. (2012). Measuring Tactical Behaviour in Football. International Journal of Sports Medicine, 33(5), 395–401. https://doi.org/10.1055/s-0031-1301320
12. Tran L.T., Nguyen N.T., Pham L. (2024). The Impact of Mentoring in Higher Education on Student Career Development: A Systematic Review. Studies in Higher Education, 49(5), 739–755. https://doi.org/10.1080/03075079.2024.2354894
Iqtibos keltirish uchun
Kodirov Muxammadxusanbek Abdizoxid o‘g‘li. (2026). OLIY TA’LIM MUASSASALARIDA BASKETBOL MASHG‘ULOTLARINI TASHKIL ETISHDA SUN’IY INTELLEKT TEXNOLOGIYALARIDAN FOYDALANISH. ADPI Ilmiy xabarnomasi. URL: https://eduservis.uz/article/178233001