测量主适应性学习者:修订仪器的开发和有效性证据
Sally A Santen1, Adam Funk2, Moshe Feldman1
1School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
Medical teacher
|August 4, 2025
概括
开发和验证了一种新的Master Adaptive Learner (MAL) 评估工具. 该工具测量了关键的学习和调整技能,支持医疗保健专业人员不断提高临床能力.
科学领域:
- 医学教育 医学教育
- 心理测量 心理测量 心理测量
- 医疗保健专业发展
背景情况:
- 士适应性学习者 (MAL) 模型涵盖了对临床能力的持续改进至关重要的技能.
- 评估这些适应性学习技能对于专业发展至关重要.
研究的目的:
- 开发和验证一个评估工具,测量大师自适应学习者 (MAL) 模型中概述的技能.
- 为评估计划,学习,评估和调整的集体技能提供一个工具.
主要方法:
- 1,427名学生完成了36项候选MAL仪器.
- 探索性因素分析 (EFA) 和确认性因素分析 (CFA) 用于确定仪器的结构和有效性.
- 根据自身价值,结构,节和理论考虑,细化了因子结构.
主要成果:
- 证实了四个因素模型,包括性,MAL技能,好奇心/探索,动机/心态/挑战.
- 最终的模型显示了充分的整体匹配 (CFI = 0.961,RMSEA = 0.041,SRMR = 0.037).
- 马尔仪器显示了足够的内部结构有效性证据.
结论:
- 开发的MAL工具是评估适应性学习技能的有效工具.
- 该工具可用于基于实践的学习能力评估,指导和补救.
- 马尔评估支持不断提高临床能力的目标.
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