International Journal on Science and Technology

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Integrating Artificial Intelligence in Sports Training: A Comparative Analysis of Expert, AI-Driven and Hybrid Regimens among Female Basketball Players

Author(s) Ms. M. Pavithra, Dr. S. Kamalakannan
Country India
Abstract This study assessed the impact of expert-designed, AI-driven and hybrid strength and skill training programs on female basketball players' physical fitness and performance. Expert (ETG), AI (AITG), Hybrid (HTG) and Control (CG) groups were randomly allocated to sixty intercollegiate athletes (18–21 years old). After a pilot study for load standardization, the experimental groups finished a 12-week program (5 days per week, 60–75 minutes per session). Performance (passing, shooting) and physical fitness (speed, agility, leg strength, core strength) were evaluated. ANCOVA, Scheffé's post-hoc test and paired t-tests were used to analyze the data. All experimental groups demonstrated significant improvements (p < 0.05), however the control group did not exhibit any meaningful changes. Out of all the factors, the HTG showed the biggest improvements.Post-hoc analysis verified the hybrid approach's superiority over expert and AI methods and ANCOVA revealed substantial between-group differences. These results imply that the best way to improve female basketball players' performance and fitness is to combine expert supervision with AI-based customisation. Further research should examine long-term effects and broader applicability.
Keywords Artificial Intelligence, Hybrid Training, Strength Training, Basketball Performance, Female Athletes.
Field Sociology > Sports
Published In Volume 17, Issue 2, April-June 2026
Published On 2026-05-05
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