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人工智能助力青少年体育教育的理论基础与应用实践

Artificial Intelligence Helps Youth Sports Education: The Road to the Integration of Personalization and Precision

Leisure Sports and Health / 2024,4(3): 80-85 / 2024-12-27 149 359

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• Authors: 辛瑜 卜红辉
• Information:

  湖北大学体育学院，武汉
  

• Keywords:
  Artificial intelligence; Youth physical education; Teaching practice; Effective path
  人工智能; 青少年体育教育; 教学实践; 有效路径
• Abstract: With the development of science and technology, artificial intelligence has risen in the field of education. The combination with youth physical education brings new opportunities and challenges. This study deeply explores the effective paths and impacts of integrating artificial intelligence into youth physical education. Artificial intelligence can realize comprehensive monitoring and data analysis of students' sports, provide all-weather sports guidance and tutoring, and timely feedback and comparison of sports achievements. In terms of theoretical basis, it elaborates the overview of artificial intelligence technology and the demand analysis of youth physical education. In application practice, it introduces the application of artificial intelligence in classroom teaching and extracurricular exercise, including intelligent auxiliary teaching systems, sports skill assessment and feedback, the role of extracurricular exercise platforms, and the formulation of personalized exercise prescriptions. Through case studies, it analyzes intelligent running training systems and personalized basketball exercise prescriptions. The research conclusion shows that artificial intelligence has a positive impact on youth physical education, including innovative teaching methods and optimized extracurricular exercise. Future research can be carried out from expanding application scenarios, strengthening interdisciplinary research, and solving problems. 随着科技的发展，人工智能在教育领域崛起，其与青少年体育教育的结合带来了新的机遇与挑战。本研究深入探索人工智能融入青少年体育教育的有效路径及其影响。人工智能可实现对学生运动的全面监测和数据分析，提供全天候的运动指导和辅导以及运动成绩的及时反馈和比对。在理论基础方面，阐述了人工智能技术概述以及青少年体育教育的需求分析。在应用实践方面，介绍了人工智能在课堂教学和课外锻炼中的应用，包括智能辅助教学系统、运动技能评估与反馈、校外锻炼平台的作用以及个性化运动处方的制定等内容。通过案例分析了智能化跑步训练系统和个性化篮球运动处方。研究结论表明，人工智能对青少年体育教育具有积极影响，包括教学方式创新、课外锻炼优化等。未来研究可从拓展应用场景、加强跨学科研究以及解决面临问题等方面展开。
• DOI: https://doi.org/10.35534/lsh.0403014
• Cite: 辛瑜，卜红辉．人工智能助力青少年体育教育的理论基础与应用实践［J］．休闲运动与健康，2024，4（3）：80-85．