SynthesisFrontiers in public health2025
Application of digital-intelligent technologies in physical education: a systematic review.
Synthesis in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identifying and alleviating ethical risks of artificial intelligence in physical education: a systematic review.Frontiers in public health · 2026Pooled it
- An empirical study of digital competence, technostress, and job satisfaction among college physical education teachers in China.Scientific reports · 2026Article
- Radiomics: Current Applications and Future Directions.MedComm · 2026Review
- The impact of GenAI-assisted instructional design on the teaching ability of pre-service physical education teachers.Scientific reports · 2026Article
- From AI coaching to athletic engagement: the mediating roles of cognitive adaptability and growth mindset in sports students.BMC sports science, medicine & rehabilitation · 2026Article
- Developing and validating a digital literacy assessment framework for pre-service physical education teachers: a Delphi-AHP study.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
- An integrated cognitive load-technology acceptance model for explaining behavioral intention to adopt Smart Physical Education Systems for extracurricular physical activity.Frontiers in psychology · 2026Article
- Generative AI in physical education and health: a narrative review and conceptual framework for interdisciplinary thematic learning.Frontiers in public health · 2026Review
- Exploring university physical education teachers' artificial intelligence use intention profiles: a Q-methodology study.Frontiers in psychology · 2026Article
- Psychometric validation of a digital literacy scale for physical education teachers in China.Frontiers in psychology · 2026Article
- Linking digital teaching management platform quality to perceived net benefits: a hybrid SEM-LPA study in university sports club-based teaching.Frontiers in psychology · 2026Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Digital-intelligent technologies (DIT), positioned at the convergence of artificial intelligence and digital transformation, have become pivotal to the modernization of physical education (PE). Although widely discussed within the context of Wisdom Education, their specific applications in PE have not been systematically synthesized. This study aimed to systematically review the scope, educational impacts, and implementation challenges of DIT in PE. Methods: A systematic review was conducted on 85 empirical studies published between January 2014 and November 2024. Following PRISMA guidelines, the review examined application scenarios, technological architectures, educational outcomes, and implementation barriers. Results: Digital Intelligent technologies (DIT) have been adopted across all stages of PE, forming a closed-loop system that includes (a) intelligent instructional design, (b) real-time process visualization, and (c) data-driven evaluation and feedback. Key innovations involved adaptive learning platforms, virtual simulation tools, multimodal assessment systems, and health behavior monitoring. Challenges remain in algorithmic accuracy, data privacy, and unequal access to digital resources. Conclusion: Digital-intelligent technologies (DIT) have reshaped physical education by enabling more intelligent, personalized, and data-informed instructional practices. To fully realize their potential, future efforts must prioritize algorithmic advancement, ethical safeguards, and the promotion of digital equity.
Indexed as
Identifiers
What OpenQuestion holds
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.