שמור ב:
| מחבר ראשי: | |
|---|---|
| פורמט: | Recurso digital |
| שפה: | אנגלית |
| יצא לאור: |
Zenodo
2025
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| גישה מקוונת: | https://doi.org/10.5281/zenodo.18171465 |
| תגים: |
הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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תוכן הענינים:
- <p><em><span>In sports and physical education, artificial intelligence (AI) is revolutionising personalised coaching by enabling flexible, data-driven, and customised training methods. AI optimises sports performance, lowers the risk of injury, and aids in talent discovery by fusing real-time statistics, predictive modelling, and automated feedback. AI assesses biomechanics, fatigue levels, cognitive and emotional preparedness, and skill development through the use of video analytics, wearable technology, and physiological monitoring. This allows coaches to make evidence-based judgements and design customised training programs. AI-driven gamification and immersive technologies also improve learning outcomes, motivation, and engagement, especially in training and educational settings.</span></em></p> <p><em><span>Adoption of AI poses issues including data privacy, algorithmic bias, infrastructural limitations, and ethical concerns despite its transformational promise. These issues necessitate multidisciplinary cooperation and coach education. Future directions include integration with national efforts like Khelo India and Fit India Movement, AI-enabled sports campuses, and smart performance ecosystems that include training, nutrition, recuperation, and psychological monitoring. By improving accuracy, accessibility, and all-around athlete development, AI enhances human coaching and transforms sports pedagogy and competitive performance.</span></em></p>