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@article{200205,
        author = {M. Pavithra and Dr. S. Kamalakannan},
        title = {Evaluating the Combination of Strength and Specific Skill Training through Expert-Designed, AI-Driven and Hybrid Regimens on Physical Fitness and Performance Variables among Female Basketball Players},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {518-522},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200205},
        abstract = {Objective: This study aimed to evaluate and compare the effectiveness of expert-designed, AI-driven and hybrid strength and specific skill training regimens on selected physical fitness and basketball performance variables among female basketball players.
Design: A randomized controlled experimental design was adopted.
Participants: A total of 60 intercollegiate female basketball players aged 18–21 years from Coimbatore district, Tamil Nadu, were randomly assigned into four groups: Expert Training Group (ETG), AI Training Group (AITG), Hybrid Training Group (HTG) and Control Group (CG).
Intervention: All experimental groups underwent a structured 12-week training programme. A pilot study was conducted prior to the main study to standardize training load and ensure feasibility. The AI group received AI-generated training schedules, the expert group followed coach-designed programmes and the hybrid group combined AI-generated plans with expert modifications. Training was conducted five days per week for 60–75 minutes per session.
Outcome Measures: Physical fitness variables included speed, agility, leg strength and core strength, while performance variables included passing and shooting ability. Data were analysed using paired t-tests, ANCOVA and Scheffé’s post-hoc test.
Results: All experimental groups showed statistically significant improvements (p < 0.05) in both physical fitness and performance variables, whereas the control group showed no significant changes. Among the groups, the hybrid training group demonstrated the greatest improvements across all variables. ANCOVA results indicated significant differences between groups and Scheffé’s post-hoc test confirmed the superiority of the hybrid group over the expert and AI groups.
Conclusions: The findings indicate that while both expert-designed and AI-driven training methods are effective, the hybrid training approach is the most efficient in enhancing physical fitness and basketball performance among female athletes. The integration of AI-based personalization with expert supervision provides a superior training model. Further research is recommended to examine long-term adaptations and applicability across different sports and populations},
        keywords = {Artificial Intelligence, Hybrid Training, Strength Training, Basketball Performance, Female Athletes.},
        month = {May},
        }