مدیریت منابع انسانی در ورزش

دو فصل نامه

شماره جاری

بر اساس شماره‌های نشریه

بر اساس نویسندگان

بر اساس موضوعات

نمایه نویسندگان

نمایه کلیدواژه ها

درباره نشریه

اهداف و چشم انداز

اعضای هیات تحریریه

اصول اخلاقی انتشار مقاله

بانک ها و نمایه نامه ها

پیوندهای مفید

پرسش‌های متداول

فرایند پذیرش مقالات

اطلاعات آماری نشریه

اخبار و اعلانات

تحلیل سواد هوش مصنوعی در مربیان ورزشی با نقش میانجی اخلاق و دانش هوش مصنوعی

نوع مقاله : مقاله مستقل

نویسندگان

1 استادیار مدیریت ورزشی، گروه مدیریت ورزشی، دانشگاه بوعلی سینا، همدان، ایران.

2 کارشناسی ارشد مدیریت ورزشی، گروه تربیت بدنی و علوم ورزشی، دانشگاه کردستان، سنندج، ایران.

3 دکتری مدیریت ورزشی، دانشکده علوم ورزشی، دانشگاه رازی، کرمانشاه، ایران.

4 گروه علوم ورزشی، دانشکده ادبیات و علوم انسانی، دانشگاه لرستان، خرم آباد، ایران.

چکیده

هدف: تحول هوش مصنوعی در مربیگری ورزش به‌طور چشمگیری شتاب گرفته است. برای بهره‎مندی از قابلیت‏های آن در امر آموزش، برخورداری از سواد هوش مصنوعی برای مربیان ورزشی یک امر بسیار حیاتی است. در این راستا، پژوهش حاضر با هدف تحلیل سواد هوش مصنوعی در مربیان ورزشی با مطالعه موردی مربیان استان کردستان انجام پذیرفت.

روش‌شناسی: روش تحقیق از نوع کمی و مبتنی بر مدلسازی معادلات ساختاری بود. تعداد 208 نفر از مربیان ورزشی براساس روش نمونه‎گیری تصادفی و دسترس به‎عنوان نمونه آماری انتخاب شدند. ابزار اندازه‌گیری شامل پرسشنامه‎های دانش درک شده از چن و همکاران (2020)، بکارگیری از وانگ و ژانگ (2020)، اخلاق و ارزیابی از بای و چانگ (2015) بودند که برای تأیید روایی صوری و محتوایی آنها از نظرات خبرگان، برای روایی سازه از آزمون تحلیل عاملی تأییدی و برای پایایی از آزمون‏های آلفای کرونباخ و پایایی ترکیبی استفاده گردید.

نتایج: یافته‎ها حاکی از آن هستند بکارگیری هوش مصنوعی با ضریب 84/0 روی دانش درک شده هوش مصنوعی، با ضریب 15/0 روی ارزیابی کاربرد هوش مصنوعی و با ضریب 78/0 روی اخلاق هوش مصنوعی تأثیر مثبت و معناداری دارد. همچنین، دانش درک شده هوش مصنوعی و اخلاق هوش مصنوعی به ترتیب با با ضرایب 14/0 و 62/0 روی ارزیابی کاربرد هوش مصنوعی تأثیر مثبتو معناداری دارند. در نهایت، دانش درک شده هوش مصنوعی و اخلاق هوش مصنوعی به ترتیب با ضرایب 11/0 و 49/0 رابطه میان بکارگیری هوش مصنوعی و ارزیابی کاربرد هوش مصنوعی در میان مربیان ورزشی استان کردستان را میانجیگری می‏کنند.

کلیدواژه‌ها

موضوعات

مراجع
  1. Dudek S, Koziak W, Makieła M, Bętkowska A, Kornacka A, Dudek W, Szostak K, Tomaka R, Byra A. Revolutionizing sports: the role of wearable technology and AI in training and performance analysis. Quality in Sport. 2025 Mar 7; 39: 58456-. https://dx.doi.org/10.12775/QS.2025.39.58456
  2. Toto GA. A Systematic review on digital technologies on sport science: didactic of sport. Formazione & insegnamento. 2022 Jan 31; 20(1 Suppl.):001-12.
  3. Naraine ML, Hayduk T, Doyle JP. Embracing the Digital Frontier: Introduction to the Routledge Handbook of Digital Sport Management. In The Routledge Handbook of Digital Sport Management 2022 Dec 1 (pp. 1-3). Routledge.
  4. Hoxha S. Technological innovations in sports: Advancing performance, accuracy, and global impact. The Journal of Bio-based Marketing©. 2025:135.
  5. Chatterjee S, Bhattacharjee KK. Adoption of artificial intelligence in higher education: A quantitative analysis using structural equation modeling. Education and Information Technologies. 2020 Sep; 25(5):3443-63. https://doi.org/10.1007/s10639-020-10159-7
  6. Von Krogh G. Artificial intelligence in organizations: New opportunities for phenomenon-based theorizing. Academy of Management Discoveries. 2018 Dec; 4(4):404-9. http://doi.org/10.5456/amd.2018.0084
  7. Ghosh I, Ramasamy Ramamurthy S, Chakma A, Roy N. Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 2023 Sep; 13(5):e1496. https://doi.org/10.1002/widm.1496
  8. Wang P, Wang A, Wang S. Integrating multimodal AI technologies for sports injury prediction and rehabilitation: Systematic review. Journal of Human Sport and Exercise. 2026; 21(1):22-37. https://orcid.org/0009-0002-0036-6515
  9. Spiteri BJ, Dingli A. AI in Sports: Shaping the Next Generation of Athletes. In Growing Up with AI: Understanding the Impact of AI on the New Generation 2026 Feb 7 (pp. 193-210). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-02260-8_10
  10. Tjoa E, Guan C. A survey on explainable artificial intelligence (xai): Toward medical xai. IEEE transactions on neural networks and learning systems. 2020 Oct 20;32 (11):4793-813. https://doi.org/10.1109/TNNLS.2020.3027314
  11. Efe A. An assessment over the impact of artificial intelligence on sports activities and the sports industry. Çanakkale Onsekiz Mart Üniversitesi Spor Bilimleri Dergisi. 2023 Oct 10;6(3):76-101. https://doi.org/10.47506/comusbd.1252279
  12. Rana M, Mittal V. Wearable sensors for real-time kinematics analysis in sports: A review. IEEE Sensors Journal. 2020 Aug 24; 21(2):1187-207. https://doi.org/10.1109/JSEN.2020.3019016
  13. Fayed AM, Mansur NS, de Carvalho KA, Behrens A, D’Hooghe P, de Cesar Netto C. Artificial intelligence and ChatGPT in orthopedics and sports medicine. Journal of Experimental Orthopedics. 2023 Jul 26; 10(1):74. https://doi.org/10.1186/s40634-023-00642-8
  14. Hammes F, Hagg A, Asteroth A, Link D. Artificial intelligence in elite sports—a narrative review of success stories and challenges. Frontiers in sports and active living. 2022 Jul 11; 4:861466. https://doi.org/10.3389/fspor.2022.861466
  15. Claudino JG, Capanema DD, de Souza TV, Serrão JC, Machado Pereira AC, Nassis GP. Current approaches to the use of artificial intelligence for injury risk assessment and performance prediction in team sports: a systematic review. Sports Medicine Open. 2019 Dec; 5(1):28. https://doi.org/10.1186/s40798-019-0202-3
  16. Li A, Huang W. A comprehensive survey of artificial intelligence and cloud computing applications in the sports industry. Wireless Networks. 2024 Nov; 30(8):6973-84. https://doi.org/10.1007/s11276-024-039351
  17. Clephas, C., Foster, M., Stergiou, P., & Katz, L. Performance analysis of the flip turn in swimming: The relationship between pressures and performance times. Applied Sciences. 2020; 10(17): 6087. https://doi.org/10.3390/app10176087
  18. Nagovitsyn RS, Valeeva RA, Latypova LA. Artificial intelligence program for predicting wrestlers’ sports performances. Sports. 2023 Oct 8; 11(10):196. https://doi.org/10.3390/sports11100196
  19. Yang SJ, Ogata H, Matsui T, Chen NS. Human-centered artificial intelligence in education: Seeing the invisible through the visible. Computers and Education: Artificial Intelligence. 2021 Jan 1; 2:100008. https://doi.org/10.1016/j.caeai.2021.100008
  20. Beal R, Norman TJ, Ramchurn SD. Artificial intelligence for team sports: a survey. The Knowledge Engineering Review. 2019 Jan; 34:e28. https://doi.org/10.1017/S0269888919000225
  21. Araújo D, Couceiro M, Seifert L, Sarmento H, Davids K. Artificial intelligence in sport performance analysis. Routledge; 2021 Apr 20. https://doi.org/10.4324/9781003171510
  22. Reis FJ, Alaiti RK, Vallio CS, Hespanhol L. Artificial intelligence and Machine Learning approaches in sports: Concepts, applications, challenges, and future perspectives. Brazilian journal of physical therapy. 2024 May 1; 28(3):101083. https://doi.org/10.1016/j.bjpt.2024.101083
  23. Huang, Z., Wang, W., Jia, Z., & Wang, Z. Exploring the integration of artificial intelligence in sports coaching: Enhancing training efficiency, injury prevention, and overcoming implementation barriers. Journal of Computer and Communications. 2024; 12(1): 201-217. https://doi.org/10.4236/jcc.2024.1212012
  24. Hammes F, Hagg A, Asteroth A, Link D. Artificial intelligence in elite sports—a narrative review of success stories and challenges. Frontiers in sports and active living. 2022 Jul 11; 4:861466. https://doi.org/10.3389/fsal.2022.00001
  25. O'Brien KA, Prentice S. Assessing the practicality of using freely available AI-based GPT tools for coach learning and athlete development. Frontiers in Sports and Active Living. 2025 Jul 29; 7:1627685. https://doi.org/10.3389/fspor.2025.16276‌8
  26. Haase J. Augmenting Coaching with GenAI: Insights into Use, Effectiveness, and Future Potential. arXiv preprint arXiv:2502.14632. 2025 Feb 20. https://arxiv.org/abs/2502.14632
  27. Mateus JC, Cappello G, Lugo N, Guerrero-Pico M. Communication educators facing the arrival of generative artificial intelligence: exploration in Mexico, Peru, and Spain. Digital Education Review. 2024 Jul 1(45):106-14.
  28. Smith, S. Robot rugby may be a way off, but art of coaching is making way for science. The Guardian. Retrieved. 2025, March 25. https://www.theguardian.com/sport/2025/mar/25/robot-rugby-may-be-a-way-off-but-art-of-coaching-is-making-way-for-science
  29. Zhao L, Wu X, Luo H. Developing AI literacy for primary and middle school teachers in China: Based on a structural equation modeling analysis. Sustainability. 2022 Nov 5; 14(21):14549. https://doi.org/10.3390/su142114549
  30. Long D, Magerko B. What is AI literacy? Competencies and design considerations. In Proceedings of the 2020 CHI conference on human factors in computing systems 2020 Apr 21 (pp. 1-16). https://doi.org/10.1145/3313831.3376727
  31. Ng DT, Leung JK, Chu KW, Qiao MS. AI literacy: Definition, teaching, evaluation and ethical issues. Proceedings of the association for information science and technology. 2021 Oct; 58(1):504-9. https://doi.org/10.1016/j.compedu.2021.104210
  32. World Economic Forum. Future of Jobs Report 2023. Geneva: World Economic Forum. 2023. Retrieved from https://www.weforum.org/reports/future-of-jobs-report-2023
  33. Santod Gago, P., Gracia López, J., & Valero. AI literacy and its impact on coaching effectiveness. In Entrepreneurial Education: Strengthening Resilience, Societal Change and Sustainability. 2021; (pp. 123–135). MDPI. https://doi.org/10.3390/978-3-0365-6241-4_22
  34. AI-Based Sports Coaching: The Fundamentals You Need to Know. Medium. 2024; https://chisoftware.medium.com/ai-based-sports-coaching-the-fundamentals-you-need-to-know-901e49e56e8c
  35. Huston DR. Self-Healing Structures, Machines, and Systems. CRC Press; 2025 Jun 30 https://doi.org/10.1007/s10044-016-0558-7
  36. Tyler, A., & Liu, X. Exploring the integration of artificial intelligence in sports coaching. Journal of Coaching and Coaching Education. 2022; 12(1): 45–60. https://doi.org/10.4236/jcc.2022.1210045
  37. Gul, W. Educational practice of AI technology in sports training and competition data visualization. Journal of Information Systems Engineering. 2023; 10(3): 105–118. https://doi.org/10.1016/j.jise.2024.01.003
  38. Zhou D, Keogh JW, Ma Y, Tong RK, Khan AR, Jennings NR. Artificial intelligence in sport: A narrative review of applications, challenges and future trends. Journal of Sports Sciences. 2025 Jul 16:1-6. https://doi.org/10.1080/02640414.2025.2518694
  39. Wachholz F, Manno S, Schlachter D, Gamper N, Schnitzer M. Acceptance and trust in AI-generated exercise plans among recreational athletes and quality evaluation by experienced coaches: a pilot study. BMC Research Notes. 2025 Mar 13; 18(1):112. https://doi.org/10.1186/s13104-025-07172-9
  40. Brewer M, Childs K, Wilkins C, Smith ZR, Thomas S, Boyer KE, Nichols JA, Beatty GF, Ferris DP. A qualitative examination of the evolving role of sports technology in collegiate coaching. Frontiers in Sports and Active Living. 2025 Sep 1; 7:1644099. https://doi.org/10.3389/fspor.2025.1644099
  41. Markus A, Carolus A, Wienrich C. Objective measurement of AI literacy: development and validation of the AI competency objective scale (AICOS). Computers and Education: Artificial Intelligence. 2025 Oct 4:100485.
  42. Baouche K, Benaissa S, Tahchi A, Guezgouz F, Saidi A, Guerroumi EH. The Sports Field from an Artificial Intelligence Perspective. Pegem Journal of Education and Instruction. 2026 Jan 17; 16(1):933-7. Retrieved from https://pegegog.net/index.php/pegegog/article/view/4773
  43. Hua YH, Chen YS. Artificial intelligence empowering sports medicine. Zhonghua yi xue za zhi. 2026 Jan 6; 106(1):6-12. https://doi.org/3760/cma.j.cn112137-20250725-01852
  44. Puce L, Żmijewski P, Cotellessa F, Schenone C, Ceylan HI, Bragazzi NL, Trompetto C. The role of artificial intelligence in sports training: opportunities, challenges and future applications for competitive swimming. Biology of Sport. 2026 Jan 1; 43(1):355-67. https://doi.org/10.5114/biolsport.2026.152352
  45. Madrigal-Cerezo R, Domínguez-Sanz N, Martín-Rodríguez A. Wearable Biosensing and Machine Learning for Data-Driven Training and Coaching Support. Biosensors. 2026 Feb 4; 16(2):97. https://doi.org/10.3390/bios16020097
  46. Skeja A, Sadiku-Dushi N. Toward sustainable AI leadership: ethical blind spots, accountability gaps and the CARE governance framework. Leadership & Organization Development Journal. 2026 Apr 24; 47(2):336-54. https://doi.org/10.1108/LODJ-06-2025-0530
  47. Floridi L, Cowls J. A unified framework of five principles for AI in society. Machine learning and the city: Applications in architecture and urban design. 2022 May 21:535-45. https://doi.org/10.1162/99608f92.8cd550d1
  48. Papadakis S, Gözüm Aİ, Kaya ÜÜ, Kalogiannakis M, Karaköse T. Examining the validity and reliability of the teacher self-efficacy scale in the use of ICT at home for preschool distance education (TSES-ICT-PDE) among Greek preschool teachers: A comparative study with Turkey. In IoT, AI, and ICT for Educational Applications: Technologies to Enable Education for All 2024 Jan 19 (pp. 1-30). Cham: Springer Nature Switzerland. https://doorg/10.1007/978-3-031-50139-5_1
  49. Wang Y. An improved machine learning and artificial intelligence algorithm for classroom management of English distance education. Journal of Intelligent & Fuzzy Systems. 2021 Feb 2; 40(2):3477-88. https://doi.org/10.3233/JIFS-189385
  50. Ghorbani Asiabar DM, Ghorbani Asiabar M, Ghorbani Asiabar A. Analyzing the Role of Artificial Intelligence in Enhancing Decision-Making Processes of Iranian Sports Club Managers. Available at SSRN 5341797. 2025 Apr 22. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5341797
  51. Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science. 2015 Jan; 43(1):115-35. https://doi.org/10.1007/s11747-014-0403-8
  52. Hair Jr JF, Matthews LM, Matthews RL, Sarstedt M. PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis. 2017; 1(2):107-23. https://doi.org/10.1504/IJMDA.2017.087624
  53. Shmueli G, Sarstedt M, Hair JF, Cheah JH, Ting H, Vaithilingam S, Ringle CM. Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European journal of marketing. 2019 Sep 20; 53(11):2322-47.
مدیریت منابع انسانی در ورزش
دوره 13، شماره 2
تیر 1405
صفحه 407-426
فایل ها
هم رسانی
ارجاع به این مقاله
آمار