【摘要】 高校教学绩效评估是提升教学质量和教育管理科学化的重要手段.为探讨科学合理的教学绩效评估方法，本文基于动态贝叶斯网络构建了运筹学教学绩效评估模型，并提出一套优化的评价指标体系，通过问卷调查法收集数据，并采用折半法与变异系数法对绩效指标进行筛选，最终形成较为完整的运筹学教学绩效评价体系，确保了评价体系的科学性和实用性.通过将所提方法应用于运筹学教学案例，验证了其在多维度数据处理与因果关系建模中的适用性.通过与模糊聚类技术进行对比分析表明，模型在准确性、适应性及稳定性上均优于传统方法，为进一步提升教学绩效评估的系统性和科学性提供了新思路.更多还原

【Abstract】 Evaluating teaching performance in higher education is a critical tool for improving teaching quality and promoting a more scientific approach to education management. To develop a more effective and rational evaluation approach,this study constructed a teaching performance evaluation model for operations research based on dynamic Bayesian networks and proposed an optimized set of evaluation indicators.Data were collected through a questionnaire survey,and key performance indicators were refined using the halving method and coefficient of variation analysis,resulting in a comprehensive evaluation system for operations research teaching that ensures both scientific rigor and practical applicability.The proposed method was applied to an operations research teaching case,demonstrating its effectiveness in handling multi-dimensional data and modeling causal relationships. Comparative analysis with fuzzy clustering techniques further validated that the model outperforms traditional methods in terms of accuracy,adaptability,and stability.This study provides new insights into enhancing the systematicity and scientific rigor of teaching performance evaluation.更多还原