首页|大数据驱动大学生体质健康智慧管理的现实表征、内在要素及实现路径

大数据驱动大学生体质健康智慧管理的现实表征、内在要素及实现路径

扫码查看
大数据驱动大学生体质健康智慧管理有助于精准供给、精准监测、精准识别、精准聚类、精准评估大学生体质健康状况,助力健康中国建设.本文采用文献资料法、逻辑分析法等研究方法,探究大数据驱动大学生体质健康智慧管理的现实表征、内在要素与实现路径.研究认为:大数据驱动大学生体质健康智慧管理的现实表征体现在:主体层由政府主导走向多元协同,精准回应智慧管理诉求;时空层由静态离散走向高效精准,动态感知与即时响应智慧管理需求;内容层由碎片化管理走向智慧管理,促进管理精细化.大数据驱动大学生体质健康智慧管理的内在要素表现在核心要素驱动体质健康数据有效集聚与多元共享、嵌入要素重塑政府体质健康管理结构和提升管理能力、协同要素助推数字健康产业发展和重塑健康管理服务模式等方面.最后,提出大数据驱动大学生体质健康智慧管理的实现路径:增强体质健康智慧管理能力,促进体质健康数据联通共享;完善体质健康大数据资源要素体系,提升智慧管理保障与支撑能力;提高政府高效精准回应能力,数据驱动体质健康靶向管理.
Big Data-Driven Intelligent Management of College Students'Physical Health:Realistic Manifestations,Intrinsic Elements and Realization Pathways
Big data-driven intelligent management of college students'physical health is conducive to precisely supplying,monitoring,identifying,clustering and evaluating the physical health conditions of college students,and contributes to the construction of a Healthy China.By adopting research methods such as literature review and logical analysis,this paper explores the realistic manifestations,intrinsic elements and realization paths of big data-driven intelligent management of college students'physical health.The researchers hold that the realistic manifestations of big data-driven intelligent management of college students'physical health are reflected in the following aspects:the main body layer shifts from government-led to multi-collaboration,precisely responding to the demands of intelligent management;the time-space layer shifts from static and discrete to efficient and precise,dynamically perceiving and immediately responding to the demands of intelligent management;the content layer shifts from fragmented management to intelligent management,promoting refined management.The intrinsic elements of big data-driven intelligent management of college students'physical health are manifested in the aspects of core elements driving the effective aggregation and multi-sharing of physical health data,embedded elements reshaping the government's physical health management structure and enhancing management capabilities,and collaborative elements boosting the development of the digital health industry and reshaping the health management service model.Finally,the realization paths of big data-driven intelligent management of college students'physical health are proposed:enhancing the ability of intelligent management of physical health and promoting the connection and sharing of physical health data;improving the element system of physical health big data resources and enhancing the guarantee and support capabilities of intelligent management;improving the government's efficient and precise response capabilities and data-driven targeted management of physical health.

big datacollege studentsphysical healthintelligent managementhealthy china

李云鹏、邹青海、王常安

展开 >

贵州师范大学体育学院,贵州贵阳 550025

铜仁体育产业发展中心,贵州铜仁 554300

吉利学院体育与健康学院,四川成都 641423

大数据 大学生 体质健康 智慧管理 健康中国

2024

体育科技文献通报
国家体育总局体育信息中心

体育科技文献通报

影响因子:0.329
ISSN:1005-0256
年,卷(期):2024.32(12)