{"title":"技术驱动卓越：尖端技术对职业体育训练影响的定量分析","authors":"Meiyan Huang, Tang Yongquan","doi":"10.1111/jcal.13082","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aim</h3>\n \n <p>In recent years, the integration of cutting-edge technology into professional sports training (ST) has revolutionized the way athletes prepare for competition. The study aims to quantitatively analyse the impact of cutting-edge technology on enhancing performance, efficiency, and outcomes in professional ST programs.</p>\n </section>\n \n <section>\n \n <h3> Purpose</h3>\n \n <p>The purpose of this study is to investigate how advanced technologies influence training effectiveness in professional sports, with a focus on performance enhancement, injury prevention, and overall athlete development.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study utilized a quantitative descriptive research design to assess technology's impact on ST. A sample of 450 sports professionals, selected through purposive sampling, completed structured questionnaires. Data were analysed using SPSS to identify correlations between technology use and training outcomes.</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>The research findings indicate that athletes utilizing virtual reality (VR), AR, and wearable technology (WT) in their training exhibit significant improvements in performance metrics (PM) and a reduction in injury risks compared to those relying on traditional training methods.</p>\n </section>\n \n <section>\n \n <h3> Result</h3>\n \n <p>The study results demonstrate that technology-assisted training improves cognitive skills (CS), decision-making, and psychological aspects like motivation and focus. Additionally, advanced analytics and artificial intelligence (AI) enable more effective, personalized coaching strategies, enhancing overall training outcomes.</p>\n </section>\n \n <section>\n \n <h3> Originality</h3>\n \n <p>This study's contribution lies in its novel approach, demonstrating virtual and augmented reality, wearable tech, and advanced analytics enhance ST by improving performance, CS, and resilience, while also reducing injuries and speeding up recovery.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>This research significantly advances the sports science domain by offering empirical evidence supporting technology integration, filling prevalent gaps in the current literature.</p>\n </section>\n </div>","PeriodicalId":48071,"journal":{"name":"Journal of Computer Assisted Learning","volume":"41 1","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tech-driven excellence: A quantitative analysis of cutting-edge technology impact on professional sports training\",\"authors\":\"Meiyan Huang, Tang Yongquan\",\"doi\":\"10.1111/jcal.13082\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aim</h3>\\n \\n <p>In recent years, the integration of cutting-edge technology into professional sports training (ST) has revolutionized the way athletes prepare for competition. The study aims to quantitatively analyse the impact of cutting-edge technology on enhancing performance, efficiency, and outcomes in professional ST programs.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>The purpose of this study is to investigate how advanced technologies influence training effectiveness in professional sports, with a focus on performance enhancement, injury prevention, and overall athlete development.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This study utilized a quantitative descriptive research design to assess technology's impact on ST. A sample of 450 sports professionals, selected through purposive sampling, completed structured questionnaires. Data were analysed using SPSS to identify correlations between technology use and training outcomes.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Findings</h3>\\n \\n <p>The research findings indicate that athletes utilizing virtual reality (VR), AR, and wearable technology (WT) in their training exhibit significant improvements in performance metrics (PM) and a reduction in injury risks compared to those relying on traditional training methods.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Result</h3>\\n \\n <p>The study results demonstrate that technology-assisted training improves cognitive skills (CS), decision-making, and psychological aspects like motivation and focus. Additionally, advanced analytics and artificial intelligence (AI) enable more effective, personalized coaching strategies, enhancing overall training outcomes.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Originality</h3>\\n \\n <p>This study's contribution lies in its novel approach, demonstrating virtual and augmented reality, wearable tech, and advanced analytics enhance ST by improving performance, CS, and resilience, while also reducing injuries and speeding up recovery.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>This research significantly advances the sports science domain by offering empirical evidence supporting technology integration, filling prevalent gaps in the current literature.</p>\\n </section>\\n </div>\",\"PeriodicalId\":48071,\"journal\":{\"name\":\"Journal of Computer Assisted Learning\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2024-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer Assisted Learning\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/jcal.13082\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Assisted Learning","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/jcal.13082","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Tech-driven excellence: A quantitative analysis of cutting-edge technology impact on professional sports training
Aim
In recent years, the integration of cutting-edge technology into professional sports training (ST) has revolutionized the way athletes prepare for competition. The study aims to quantitatively analyse the impact of cutting-edge technology on enhancing performance, efficiency, and outcomes in professional ST programs.
Purpose
The purpose of this study is to investigate how advanced technologies influence training effectiveness in professional sports, with a focus on performance enhancement, injury prevention, and overall athlete development.
Methods
This study utilized a quantitative descriptive research design to assess technology's impact on ST. A sample of 450 sports professionals, selected through purposive sampling, completed structured questionnaires. Data were analysed using SPSS to identify correlations between technology use and training outcomes.
Findings
The research findings indicate that athletes utilizing virtual reality (VR), AR, and wearable technology (WT) in their training exhibit significant improvements in performance metrics (PM) and a reduction in injury risks compared to those relying on traditional training methods.
Result
The study results demonstrate that technology-assisted training improves cognitive skills (CS), decision-making, and psychological aspects like motivation and focus. Additionally, advanced analytics and artificial intelligence (AI) enable more effective, personalized coaching strategies, enhancing overall training outcomes.
Originality
This study's contribution lies in its novel approach, demonstrating virtual and augmented reality, wearable tech, and advanced analytics enhance ST by improving performance, CS, and resilience, while also reducing injuries and speeding up recovery.
Conclusion
This research significantly advances the sports science domain by offering empirical evidence supporting technology integration, filling prevalent gaps in the current literature.
期刊介绍：
The Journal of Computer Assisted Learning is an international peer-reviewed journal which covers the whole range of uses of information and communication technology to support learning and knowledge exchange. It aims to provide a medium for communication among researchers as well as a channel linking researchers, practitioners, and policy makers. JCAL is also a rich source of material for master and PhD students in areas such as educational psychology, the learning sciences, instructional technology, instructional design, collaborative learning, intelligent learning systems, learning analytics, open, distance and networked learning, and educational evaluation and assessment. This is the case for formal (e.g., schools), non-formal (e.g., workplace learning) and informal learning (e.g., museums and libraries) situations and environments. Volumes often include one Special Issue which these provides readers with a broad and in-depth perspective on a specific topic. First published in 1985, JCAL continues to have the aim of making the outcomes of contemporary research and experience accessible. During this period there have been major technological advances offering new opportunities and approaches in the use of a wide range of technologies to support learning and knowledge transfer more generally. There is currently much emphasis on the use of network functionality and the challenges its appropriate uses pose to teachers/tutors working with students locally and at a distance. JCAL welcomes: -Empirical reports, single studies or programmatic series of studies on the use of computers and information technologies in learning and assessment -Critical and original meta-reviews of literature on the use of computers for learning -Empirical studies on the design and development of innovative technology-based systems for learning -Conceptual articles on issues relating to the Aims and Scope
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