ReviewFrontiers in public health2024
Artificial intelligence in physical education: comprehensive review and future teacher training strategies.
Review in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Identifying and alleviating ethical risks of artificial intelligence in physical education: a systematic review.Frontiers in public health · 2026Pooled it
- Application of digital-intelligent technologies in physical education: a systematic review.Frontiers in public health · 2025Pooled it
- A qualitative study of physical education teachers' perceptions of artificial intelligence and influencing factors based on social cognitive theory.BMC psychology · 2026Article
- A study on the application of multimodal technologies in personalized training systems for the integration of physical education and general education.BMC sports science, medicine & rehabilitation · 2026Article
- AI-enabled learning analytics use relates to physical literacy and engagement in university PE via smart teaching and personalised feedback.Scientific reports · 2026Article
- Interpretable skeleton-based movement profiles for formative feedback in school physical activity education.Frontiers in public health · 2026Article
- Associations between generative AI use frequency, technology acceptance, attitudes toward AI, and reported learning preference patterns among students in physical education classes.Frontiers in sports and active living · 2026Article
- Exploring university physical education teachers' artificial intelligence use intention profiles: a Q-methodology study.Frontiers in psychology · 2026Article
- Artificial intelligence for university physical education: a data-knowledge synergy digital-intelligent sports platform.Frontiers in public health · 2026Article
- Longitudinal associations between generative artificial intelligence adoption and university PE teachers' professional competence.Frontiers in psychology · 2026Article
- Advanced utilization of motion decomposition and visualization technology in gymnastics education.Frontiers in psychology · 2026Article
- Development and implementation of a MediaPipe-based AI teaching-learning model in school physical education for health promotion.Frontiers in public health · 2026Article
- Digital feedback via free ChatGPT within the reciprocal teaching style: improving fundamental handball skills and students' attitudes among university beginners.Frontiers in sports and active living · 2026Article
- Rethinking ethical governance of generative AI in sport pedagogy research: a discipline-sensitive perspective.Frontiers in public health · 2026Article
- Achieving Gameplay Independence in Virtual Reality Exergames for Individuals With Mild Intellectual Disabilities: Pilot Study.JMIR serious games · 2025Article
- Intelligent optimization of track and field teaching using machine learning and wearable sensors.Scientific reports · 2025Article
- The associations of AI assisted training on sport performance among student athletes based on a dual path chain mediation model with the moderating role of psychological adaptability.Frontiers in psychology · 2025Article
- Enhancing table tennis performance and physical fitness through digital technology: a quasi-experimental study based on the TPACK framework.Frontiers in sports and active living · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) technology is deeply changing our lives and provides impetus for improving production and living efficiency as an important emerging tool. Digitalization and intelligent development have also become the development direction of the sports industry, bringing new requirements to the transformation of physical education (PE) and the improvement of the quality of PE teachers. PE is an important part of the public health system, and AI can deeply participate in the formulation of teaching strategies, the tracking of teaching processes and the evaluation of teaching results, effectively improving the quality of teaching. Research on the application of AI technology in PE has been carried out. This paper comprehensively reviews the existing research and conducts a comprehensive analysis of the research progress and status. The potential application areas of AI in PE are discussed to better promote the intelligent and digital upgrading of PE. We found that the research on the application of AI in PE is still in its early stages, and the research content needs to be strengthened in terms of breadth and depth. Furthermore, this paper analyzes the challenges faced by PE teacher development and training in the context of educational transformation in the era of AI, and explores the necessary skills and knowledge related to AI technology that future PE teachers should master in order to effectively achieve the improvement of teaching level and the sustainable development of public health system. The review of this paper provides valuable guidance for educators and policymakers to formulate high-quality teacher development and training mechanisms, and provides a new reference for the application and development of AI in sports.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.