基于贝叶斯法的国家级考试成本-效果分析及优化：以执业医师资格考试的改革为例

国家级考试不仅关乎国家的人才培养与选拔，更是引导教育发展方向、维系社会分工与稳定的关键手段。然而，关于国家级考试成本-效果和其优化机制的系统性研究较为罕见。本课题利用生产费用价值论与教育测量理论的交叉框架、基于前期关于考试成本梳理与考试质量指标的研究基础，旨在针对国家级考试成本-效果的分析及优化，并将研究结果应用于执业医师资格考试的改革。研究拟采用文献分析和访谈调研等方法进行实证研究，提出国家级考试成本-效果的理论框架。在此基础上，将成本与教育测量模型进行贝叶斯建模，提出具有普适性的分析方法。在应用方面，利用机器学习的算法提出干预方案，致力于在控制成本的前提下最大化执医考试的效果，为其他国家级考试的成本-效果优化提供可借鉴的技术思路。

National-level examinations are not only about the training and selection of national talents, but also a key tool for guiding the direction of education development and maintaining the division of labor and stability in society. However, systematic studies on the cost-effectiveness of national examinations and their optimization mechanisms are rare. This study aims to analyze and optimize the cost-effectiveness of national examinations and apply the results to the reform of China's National Medical Exams by using the intersection of cost-of-production theory of value and measurement theory, and based on the previous research on examination costs and examination quality indicators. The study proposes to use literature analysis and interview methods to conduct empirical research and propose a theoretical framework for the cost-effectiveness of national examinations. Based on this, the cost and measurement model will be modeled with Bayesian approaches with great adaptivity and generalizability. In terms of application, an intervention program is proposed using machine-learning algorithms which are dedicated to maximizing the effectiveness of the medical examination while controlling costs, and provides technical ideas that can be applied to the cost-effectiveness optimization of various national examinations.