摘要
目的评估某高校临床医学专业网络化出科考试题库的整体质量。方法依托某校题库与网络考试系统为技术支持,组建网络化出科考试题库,于2017年5月6日～6月24日期间组织2 432人次参加测试,采用单因素方差分析(ANOVA)方法,以信度(R)、难度(P)、区分度(D)为指标来进行评价。结果除内分泌科、肾内科和骨科外,其他14个科室的试题题库均较为稳定(P-value<0.05);除神经外科第4次考试的试题难度D为0.85和骨科第2次考试信度R为0.56外,其他科室试题的难度、信度和区分度均在参考值范围内(分别为0.51-0.84,0.62-1,0.13-1)。结论该高校的网络化试题题库中各科室试题信度较高,难度适中,能较好的将学生的知识掌握程度区分开来,可向其他医科院校推广使用。
Objective To evaluate the overall quality of the computer-based test question bank for clinical medicine in a college.Methods Based on a school item bank and computer-based examination system as technical support,a computerbased test question bank was set up.From May 6 to June 24,2017,2432 people participated in the test,and one-way analysis of variance(ANOVA)was used.The reliability(R),difficulty(P),and degree of differentiation(D)were used as indicators for evaluation.Results Except for endocrinology,nephrology and orthopedics,the test question bank of the other 14 departments were all stable(P-value<0.05);except for the fourth exam of neurosurgery,the difficulty D was 0.85 and the second examination of orthopedics has a reliability R of 0.56,the difficulty,reliability,and differentiation of the questions in other departments are within the reference range(0.51-0.84,0.62-1,0.13-1).Conclusion The reliability of the examination questions in each department of the university’s computer-based test questions database is relatively high,and the difficulty is moderate.It can better separate students’knowledge mastery and can be used to promote other medical schools.
作者
刘辉
宋子秀
王凯
张静
Liu Hui;Song Zixiu;Wang Kai;Zhang Jing(Teaching Affairs Office of Southern Medical University,Guangzhou 510515,China)
出处
《医学教育管理》
2018年第3期187-191,共5页
Medical Education Management
基金
广东省综合改革试点项目:构建医学教育培训考核云平台(粤教规函[2015]9号文83项)
2016年度广东省临床教学基地教学改革研究项目:网络化考试在临床医学专业实习出科考核中的应用与研究(2016JDA012)
关键词
网络化考试
临床医学
出科考核
试题评价
computer-based examination
clinical medicine
department examination
evaluation of test questions
作者简介
刘辉,硕士,助理研究员,研究方向:医学高等教育与项目管理。Email:369450549@qq.com。;通讯作者,张静,助理研究员,研究方向:医学高等教育与临床教学评价。Email:zhangjing@smu.edu.cn。
