基于知识点分析的临床医学外科学理论考试质量评估与教学优化策略研究

Quality Assessment and Teaching Optimization Strategies for the Clinical Surgery Theoretical Examination Based on Knowledge-Point Analysis

  • 摘要:
    目的 针对临床医学外科学理论考试试卷进行基于知识点的系统性分析,从而为构建科学全面的试卷分析系统提供参考。
    方法 采用难度系数(P值)和区分度指数(D值)指标,对北京协和医学院2023级临床医学试点班《临床综合课:外科学》试卷的6种题型和40个知识点进行精细化评估,以频数分布图、雷达图、散点图等进行数据可视化分析。
    结果 共收集23份试卷,学生平均分为(78.63±7.58)分,及格率为100%。试卷整体难度较小(P=0.79),区分度较差(D=0.15)。40个知识点中,2个(5.0%)难度较大,9个(22.5%)难度适中,29个(72.5%)难度较小;3个(7.5%)区分度非常好,8个(20.0%)区分度较好或一般,29个(72.5%)区分度相对较差。部分知识点如“前列腺增生”(P=0.26,D=-0.17)存在难度大但区分度差的问题,较多知识点需进行相应调整。
    结论 基于知识点的试卷分析可为优化题型设计提供参考,从而提升考核科学性,为教学改进提供依据。

     

    Abstract:
    Objective To conduct a systematic analysis of a clinical surgery theoretical examination based on knowledge points, thereby providing a reference for establishing a scientific and comprehensive test paper analysis system.
    Methods Using the difficulty coefficient (P-value) and discrimination index (D-value) as indicators, a detailed evaluation was performed on 6 question types and 40 knowledge points from the Clinical Comprehensive Course: Surgery examination for the 2023 clinical medicine pilot class at Peking Union Medical College. Data were visualized using frequency distribution charts, radar charts, and scatter plots.
    Results A total of 23 examination papers were collected. The students' average score was 78.63±7.58, with a pass rate of 100%. The overall examination difficulty was relatively low (P=0.79), and the overall discrimination was poor (D=0.15). Among the 40 knowledge points, 2 (5.0%) were difficult, 9 (22.5%) were moderately difficult, and 29 (72.5%) were relatively easy. Regarding discrimination, 3 (7.5%) knowledge points showed excellent discrimination, 8 (20.0%) demonstrated good or acceptable discrimination, and 29 (72.5%) had relatively poor discrimination. Some knowledge points e.g., "Benign Prostatic Hyperplasia" (P=0.26, D=-0.17) presented issues of high difficulty coupled with poor discrimination. A considerable number of knowledge points require corresponding adjustments.
    Conclusion Knowledge-point-based test paper analysis can provide references for optimizing question type design, thereby enhancing the scientific nature of assessments and offering a basis for teaching improvements.

     

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