ArticleFrontiers in psychology2021
Exploring the Characteristics of Physical Exercise in Students and the Path of Health Education.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.
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Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Application of digital-intelligent technologies in physical education: a systematic review.Frontiers in public health · 2025Pooled it
- Status and Influencing Factors of Physical Exercise among College Students in China: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- The intention of Chinese college students to use sports smart wearable devices based on the technology acceptance model and technology readiness index.Scientific reports · 2026Article
- Promoting physical function in older adults via physical exercise from a health empowerment perspective: a chain mediation model of social participation and depression.BMC public health · 2026Article
- Does generative AI dependence foster creativity? Evidence from sports undergraduates.PloS one · 2026Article
- Artificial intelligence in physical education: comprehensive review and future teacher training strategies.Frontiers in public health · 2024Review
- Wellness Perception of South Korean Elementary School Students during the COVID-19 Endemic.Healthcare (Basel, Switzerland) · 2023Article
- Chinese university students' preferences for physical activity incentive programs: a discrete choice experiment.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
College students are taken as the research sample, with the purpose of exploring the characteristics of physical exercise and health education path of students under artificial intelligence (AI) algorithm. First, related literature is studied to understand the physical education system of college students. Then, the current situation of physical exercise of college students is investigated through the interview survey, and the mathematical statistics method is used to analyze the survey results. Moreover, the necessity and paths to carry out health education are discussed through the analysis of the physical exercise behavior of college students. Finally, the college smart sports classroom (SSC) is constructed using AI and the big data analysis method. The experimental results indicate that more than 50% of college students can actively participate in physical exercise. Besides, boys are more likely to take dangerous coping behaviors, while girls are more prone to choose to resist coping behaviors. In addition, there is little difference in age of the distribution of different coping behaviors in physical exercise. Freshmen are more inclined to take risky coping behaviors, and the quantity of students taking resistant coping behaviors increases with the increase of grades. Therefore, relevant physical health education for college students can promote the good habit of health exercise. This study can provide a reliable experimental basis for the development of sports education in the future.
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