Research on the Theoretical Logic and Practical Path of Empowering University Sports Health and Wellness Governance with Artificial Intelligence
DOI: https://doi.org/10.62517/jmpe.202618104
Author(s)
Hongping Wei1,*, Chuangle Guo1, Ning Song2
Affiliation(s)
1Chengdu University of Information Technology, Chengdu, Sichuan, China
2Chengdu Swan Lake Primary School, Chengdu, Sichuan, China
*Corresponding Author
Abstract
Under the dual impetus of the in-depth implementation of the "Healthy China" strategy and the accelerated advancement of educational digital transformation, artificial intelligence (AI) technology, with its core advantages in data processing, pattern recognition, and intelligent decision-making, offers a new paradigm and technical support for the innovation of the health and sports governance system in colleges and universities. This paper, taking the theories of collaborative governance, technology empowerment, and health behavior change as the core analytical framework, comprehensively employs methods such as literature research, case analysis, and comparative study to systematically explore the application value and practical forms of AI in core areas such as optimizing physical education teaching in colleges and universities, dynamic monitoring of physical health, health and safety risk prevention and control, and scientific governance decision-making. It deeply analyzes the current practical challenges faced in the process of AI empowering the health and sports governance in colleges and universities, including insufficient technical adaptability, prominent data security risks, ambiguous algorithmic ethical boundaries, and poor coordination among multiple stakeholders. Based on the principle of combining problem orientation with goal orientation, it proposes practical paths from four dimensions: technology research and development and iteration, institutional system construction, ethical norms improvement, and innovation of collaborative mechanisms among multiple subjects, including building a dedicated intelligent governance platform for colleges and universities, improving the full-process data governance system, establishing a dynamic ethical review mechanism, and creating a multi-party collaborative network, to enhance the precision, intelligence, and scientific level of health and sports work in colleges and universities.
Keywords
Artificial Intelligence; College Physical Ecation; Health and Sports Governance; Technology Empowerment; Data Governance; Collaborative Mechanism.
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