Sports Department, University of Electronic Science and Technology of China, Chengdu, China.
School of Gymnastics, Chengdu Sport University, Chengdu, China.
Front Public Health. 2022 Aug 9;10:924025. doi: 10.3389/fpubh.2022.924025. eCollection 2022.
With the development of information technology, the application of a new generation of information technologies, such as big data, Internet Plus, and artificial intelligence, in the sports field is an emerging, novel trend. This paper examined the relevant research results and literature on physical education, computer science, pedagogy, management, and other disciplines, then used a self-made questionnaire to investigate the physical health status of Chinese college students. The big data were subsequently analyzed, which provided a scientific basis for the construction of an intelligent governance system for college students' physical health. Intelligent devices may be used to obtain big data resources, master the physical sports development and psychological status of college students, and push personalized sports prescriptions to solve the problems existing in college students' physical health. Research shows that there are four reasons for the continuous decline in Chinese college students' physical health levels. These are students' lack of positive exercise consciousness and healthy sports values (85.43%), a weak family sports concept and lack of physical exercise habits (62.76%), poor implementation of school sports policies (55.35%), and people's distorted sports value orientation (42.27%). Through the connecting effect of data, we can bring together the positive role of the government, school, society, family, and students so as to create an interlinked impact to promote students' physical health. The problems of insufficient platform utilization, lack of teaching resources, lagging research, and insufficient combination with big data in the intelligent governance of physical health of Chinese college students can be solved by building an intelligent governance system of physical health. Such a system would be composed of school infrastructure, data resources and technology processing, and intelligent service applications. Among these, school infrastructure refers to the material foundation and technical support. The material foundation includes perceptions, storage, computing, networks, and other equipment, and the technical support includes cloud computing, mobile Internet, the Internet of Things, artificial intelligence, and deep learning. Data resources refer to smart data, such as stadium data, physical health management data, and students' sports behavior data, which are mined from data resources such as students' physical development, physical health, and sports through big data technology and intelligent wearable devices. Intelligent managers provide efficient, intelligent, accurate, and personalized intelligent sports services for college students through data resource value mining, venue space-time optimization, health knowledge discovery, sports prescription pushes, etc. Finally, we put forward the development strategy for further deepening and improving the big data-driven intelligent governance system for college students' physical health. The intelligent governance system of physical health driven by big data and its development strategy can not only accurately guide and improve the physical health level of college students but also realize integrated teaching inside and outside physical education classes.
随着信息技术的发展,大数据、互联网+、人工智能等新一代信息技术在体育领域的应用是一种新兴的、新颖的趋势。本文查阅了体育学、计算机科学、教育学、管理学等学科的相关研究成果和文献,并使用自制问卷对中国大学生的身体健康状况进行了调查。随后对大数据进行了分析,为构建大学生身体健康智能治理体系提供了科学依据。智能设备可以用来获取大数据资源,掌握大学生体育发展和心理状况,推送个性化体育处方,解决大学生身体健康存在的问题。研究表明,中国大学生身体素质水平持续下降有四个原因。这是学生缺乏积极锻炼意识和健康体育价值观(85.43%),家庭体育观念薄弱,缺乏体育锻炼习惯(62.76%),学校体育政策执行不力(55.35%),以及人们体育价值观的扭曲(42.27%)。通过数据的连接效应,我们可以汇聚政府、学校、社会、家庭和学生的积极作用,形成互联互动,促进学生身体健康。中国大学生身体健康智能治理存在平台利用不足、教学资源匮乏、研究滞后、与大数据结合不充分等问题,可以通过构建身体健康智能治理体系来解决。该体系将由学校基础设施、数据资源和技术处理、智能服务应用三部分组成。其中,学校基础设施是物质基础和技术支撑。物质基础包括感知、存储、计算、网络等设备,技术支撑包括云计算、移动互联网、物联网、人工智能、深度学习等。数据资源是指通过大数据技术和智能可穿戴设备从学生身体发育、身体健康、体育等数据资源中挖掘出来的智能数据,如体育场数据、身体健康管理数据、学生体育行为数据等。智能管理者通过数据资源价值挖掘、场馆时空优化、健康知识发现、运动处方推送等,为大学生提供高效、智能、精准、个性化的智能运动服务。最后,提出了进一步深化和完善大学生身体健康大数据驱动智能治理体系的发展策略。大数据驱动的大学生身体健康智能治理体系及其发展策略不仅可以准确引导和提高大学生的身体健康水平,还可以实现体育课内外的综合教学。