招生政策对高校高水平运动队可持续发展影响的演化博弈模型

Admission policy affects sustained development of high-performance sports teams in universities:an evolutionary game model

  • 摘要: 在体教融合的背景下,高校高水平运动队的可持续发展正面临多方面的挑战.本研究以高校高水平运动队招生政策为切入点,通过建立演化博弈模型,分析了招生政策制定相关的主体,即体育部门、教育部门、高校之间的策略互动机制,探讨了招生政策对高校高水平运动队可持续发展的影响机制.研究表明:1)体育部门和教育部门对高校高水平运动队的价值定位,以及对高水平运动队可选人才质量的偏好共同决定招生政策的演化方向;2)存在一个有利于高校高水平运动队可持续发展的理想招生政策,该政策在招生方式上兼顾效率和公平,在考核标准对专业能力和文化能力有更适中的度量,但该政策的稳定依赖体育、教育2部门的政策协同,任何单方面的偏离都会使得政策最终演化到极端的不可持续状态;3)体育、教育2部门在制定招生政策时,需要充分理解各类运动项目的特性,并达成一致性的认知.在此基础上,对于2部门来说,理性的决策是根据项目特性制定个性化的招生政策,避免“一刀切”的招生标准.

     

    Abstract: The sustained development of high-level sports teams in universities faces multiple challenges in the context of sports-education integration. In this study we examine enrollment policy for high-level sports teams in universities, with a focus on strategic interactions among key players (sports department, education department, and university) by construction of an evolutionary game model. The impact of enrollment policy on sustainable development of high-level sports teams in universities is then examined. It is found that value orientation of sports and education departments, along with their preferences for the quality of athletic talents, jointly shape the evolutionary trajectory of admissions policy. An ideal admissions policy supporting sustained development of university high-performance sports teams should balance efficiency and equity in the admission process and integrate requirements for both athletic and academic qualifications in evaluation standards. However, to maintain stability of such policies will require effective coordination between sports and education departments. Any unilateral deviation will risk pushing the policy toward extreme and unsustainable states. Rational decision-making necessitates a nuanced understanding of the unique characteristics of different sports disciplines, to avoid any “one-size-fits-all” approach. Instead, admissions policy should be tailored to specific needs of each discipline.

     

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