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    "https://zenodo.org/records/20324615",
    "doi:10.5281/zenodo.20324615",
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  "dcterms:title": [
    "Application Of Artificial Intelligence In Physical Education And Sports: A Review"
  ],
  "dcterms:type": [
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    "Journal article"
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  "dcterms:creator": [
    "Tirtha Mondal1*, Malabika Biswas2"
  ],
  "dcterms:description": [
    "The integration of Artificial Intelligence (AI) into physical education (PE) and sports has evolved from early theoretical frameworks to sophisticated data-driven systems. This review traces AI's historical trajectory, highlighting key phases, technological advancements, applications, and ethical challenges. Early developments in cybernetics and rule-based systems laid the foundation for AI applications in biomechanics and performance analysis. The emergence of machine learning, deep learning, computer vision, and wearable technologies transformed injury prevention, performance optimization, talent identification, and pedagogy. While AI continues to revolutionize both elite sports and general physical education, challenges related to data privacy, algorithmic bias, interpretability, accessibility, and human-AI collaboration remain central. Addressing these through cross-disciplinary collaboration and ethical frameworks is essential for responsible AI integration in physical activity and sports science."
  ],
  "dcterms:subject": [
    "Artificial Intelligence",
    "Physical Education",
    "Sports Science",
    "Machine Learning",
    "Biomechanics",
    "Wearable Technology",
    "Ethics."
  ],
  "dcterms:language": [
    "en"
  ],
  "dcterms:license": [
    {
      "@id": "https://creativecommons.org/licenses/by/4.0/"
    }
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  "dcterms:rights": [
    "CC-BY-4.0 — assessed as OPEN by the harvester's licence gate. Conditions: attribution required. open, permissive"
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    "text/markdown"
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  "dcterms:issued": [
    "2026-05-21"
  ],
  "dcterms:modified": [
    "2026-05-21"
  ],
  "dcterms:created": [
    "2026-05-21"
  ],
  "dcterms:bibliographicCitation": [
    "International Journal of Scientific Research and Technology, vol. 3(5), pp. 756-759"
  ],
  "dcterms:isVersionOf": [
    {
      "@id": "https://doi.org/10.5281/zenodo.20324614"
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  "dcterms:provenance": [
    "Retrieved from Zenodo on 2026-10-09 in response to the search string “(\"artificial intelligence\" OR \"machine learning\" OR \"generative AI\" OR \"deep learning\" OR \"reinforcement learning\" OR \"large language model\" OR \"AI\") AND (\"AI concepts\" OR \"types of AI\" OR \"AI fundamentals\" OR \"recognizing AI\" OR \"recognising AI\" OR \"general versus narrow AI\" OR \"narrow AI\" OR \"general AI\" OR \"machine intelligence\" OR \"AI strengths and weaknesses\" OR \"traditional software\" OR \"rule-based systems\" OR \"introduction to AI\" OR \"introduction to artificial intelligence\" OR \"artificial intelligence introduction\" OR \"AI primer\" OR \"foundations of artificial intelligence\" OR \"overview of AI\" OR \"understanding AI\" OR \"history of AI\" OR \"AI essentials\" OR \"AI terminology\" OR \"metaphors for AI\" OR \"AI fundamental concepts\" OR \"AI key concepts\" OR \"philosophy of AI\" OR \"critical AI literacy\")”. Zenodo served the resource and is not asserted to be its publisher or author.",
    "Text extracted from pdf to Markdown by pdf-inspector; the original is retained unchanged beside it."
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}