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开发和EvaLeR工具的初始有效性证据:评估紧急医疗教育资源的质量
Carl Preiksaitis1, Rachel Barber2, Holly Caretta-Weyer1
1Department of Emergency Medicine Stanford School of Medicine Stanford California USA.
AEM education and training
|June 27, 2025
概括
紧急医疗人员越来越多地使用数字资源. 新的EvaLeR工具为数字和印刷教育材料提供可靠,有效的质量评估,帮助资源选择.
科学领域:
- 医学教育 医学教育
- 数字健康数字健康
- 基于证据的实践.
背景情况:
- 紧急医疗 (EM) 居民越来越多地喜欢数字学习资源而不是传统教科书.
- 缺乏标准化的工具阻碍了数字和印刷EM教育资源之间的比较质量评估.
- 这种不确定性可能导致不一致的学习经验和资源选择中的挑战.
研究的目的:
- 开发和收集用于学习资源评估 (EvaLeR) 工具的初始有效性证据.
- 创建一个标准化的工具来评估数字和传统的EM教育资源的质量.
主要方法:
- 采用了两阶段的混合方法方法,包括系统的文献审查和专家咨询.
- 开发了EvaLeR工具,随后34个EM教师使用它来评估20个资源 (10个教科书章节,10个数字博客帖子).
- 收集数据是为了评估该工具的可靠性,内部一致性以及与现有评估方法的相关性.
主要成果:
- EvaLeR工具表现出卓越的平均测量可靠性 (ICC=0.97) 和高内部一致性 (克朗巴赫的α=0.86).
- 该工具与教育工作者格斯塔尔特评分 (r=0.53,p<0.001) 有中等相关性.
- 在教科书章节和数字资源之间没有发现质量评估得分的显著差异 (p=0.62).
结论:
- 最初的有效性证据支持EvaLeR工具用于评估数字和传统EM教育资源的质量.
- EvaLeR为教育工作者提供了基于证据的方法来选择资源,优先考虑内容质量而不是格式.
- 这代表了第一个标准化工具,用于对各种EM教育资源格式进行比较评估.
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