通过现代自动化测试组装方法优化医学本科生的国家考试
Lingling Xu1, Zhehan Jiang2, Fen Cai3
1Peking University, Beijing, China.
BMC medical education
|August 25, 2024
概括
自动化测试组件 (ATA) 通过减少测试长度,同时保持质量来优化医学教育评估. 这种数据科学方法提高了创建标准化测试的效率和成本效益.
科学领域:
- 医学教育 医学教育
- 心理测量 心理测量 心理测量
- 数据科学数据科学数据科学
背景情况:
- 自动化测试组件 (ATA) 使用数据科学来创建高效的测试.
- 大规模的医疗评估面临诸如受试者疲劳和高成本等挑战.
- 本研究将ATA应用于改善医学教育评估设计.
研究的目的:
- 通过使用现代的ATA方法来增强医学教育评估设计.
- 评估ATA在创建优化测试表格方面的有效性.
- 为了减少测试长度,同时保持统计和内容标准.
主要方法:
- 对临床医学本科生标准化能力测试 (SCTCMU) 的项目池进行校准和分析.
- 采用两种现代的ATA方法,根据测试蓝图确定最佳的项目组合.
- 评估了ATA.生成的测试表格的质量.
主要成果:
- 发现SCTCMU的物品属性具有值得称赞的质量.
- ATA在预定义的测量精度内成功确定了最佳测试长度.
- ATA显著减少了测试长度,同时保持了统计和内容标准.
结论:
- 现代ATA方法提高了测试形式构造的效率和精度.
- ATA为医学教育工作者提供了一种工具,可以更高效,更具成本效益的评估.
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