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Objective <p>This study explores the impact of integrating Artificial Intelligence (AI) in supporting Physical Activity (PA) on students’ well-being and academic performance (AP). It reviews the current literature on AI applications in PA, analyzing various frameworks to assess the ethical, practical, and theoretical consequences of using AI to motivate university students to practice PA and enhance the well-being, mental and physical, and academic outcomes.</p> Methodology <p>March 2024 saw the completion of a review of the literature. The database used was PubMed, and various search frameworks were searched utilizing term strings inside of it. Synonyms were also considered. Included were research findings that fell between 2018 and 2024. The phrases “physical activity,” “physical exercise,” and “exercise” were used to refer to physical activity in the database. The terms “artificial intelligence” or “AI” were selected for technology-related terminology. The keywords for the selected sample were “college students” or “university students”.</p> Results <p>The initial database query returned a substantial number of records, which were progressively screened according to the predefined inclusion and exclusion criteria. The primary search string combining artificial intelligence and physical activity yielded 150 articles; after applying language and publication date filters, the set was narrowed to 50.</p> Conclusions <p>The integration of artificial intelligence AI into initiatives that promote PA among university students presents new opportunities that could enhance their physical and mental well-being, as well as their academic success.</p>

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Relationship between artificial intelligence and physical activity

  • 期刊论文

  • 发表日期：

    2026年2月23日

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  • Mariasole Antonietta Guerriero,
  • Marilena di Padova,
  • Angelo Basta,
  • Rita Polito,
  • Giovanni Messina,
  • Maria Casillo,
  • Anna Dipace,
  • Fiorenzo Moscatelli

摘要

Objective

This study explores the impact of integrating Artificial Intelligence (AI) in supporting Physical Activity (PA) on students’ well-being and academic performance (AP). It reviews the current literature on AI applications in PA, analyzing various frameworks to assess the ethical, practical, and theoretical consequences of using AI to motivate university students to practice PA and enhance the well-being, mental and physical, and academic outcomes.

Methodology

March 2024 saw the completion of a review of the literature. The database used was PubMed, and various search frameworks were searched utilizing term strings inside of it. Synonyms were also considered. Included were research findings that fell between 2018 and 2024. The phrases “physical activity,” “physical exercise,” and “exercise” were used to refer to physical activity in the database. The terms “artificial intelligence” or “AI” were selected for technology-related terminology. The keywords for the selected sample were “college students” or “university students”.

Results

The initial database query returned a substantial number of records, which were progressively screened according to the predefined inclusion and exclusion criteria. The primary search string combining artificial intelligence and physical activity yielded 150 articles; after applying language and publication date filters, the set was narrowed to 50.

Conclusions

The integration of artificial intelligence AI into initiatives that promote PA among university students presents new opportunities that could enhance their physical and mental well-being, as well as their academic success.