合作开发反概念地图用于虚拟基于患者的临床推理教育:混合方法研究研究
Anja Mayer1, Inga Hege2, Andrzej A Kononowicz3
1Medical Education Sciences, University of Augsburg, Augsburg, Germany.
JMIR medical education
|January 30, 2025
概括
临床推理 (CR) 教育中的协作概念映射通过整合各种健康专业人士的观点来增强反. 共识研讨会为医学学生创建了有用和被接受的概念地图,改善了CR教育.
科学领域:
- 医学教育 医学教育
- 临床推理 临床推理
- 健康 专业 教育 卫生 专业 教育
背景情况:
- 概念图是教学临床推理 (CR) 的有效工具,能够记录和连接发现,测试,诊断和治疗.
- 将概念图与虚拟患者集成,可以实现自动反.
- 通过多名卫生专业人员共同创建反概念图,可以解决CR的非线性性质,并纳入各种观点.
研究的目的:
- 开发和评估一个协作过程,在虚拟的基于患者的CR教育中创建反概念图.
主要方法:
- 来自各种专业和背景的卫生专业人员单独创建概念地图.
- 用结构化研讨会来达成这些概念图的共识.
- 医学学生参加了焦点小组,讨论生成的概念图.
- 用定性内容分析和描述性比较来分析数据.
主要成果:
- 四个研讨会涉及14名卫生专业人员,最终产生了比单个地图更多的节点和连接的共识概念地图.
- 达成共识的概念地图得到了好评,尽管它们的范围和内容各不相同.
- 两个由9名医学学生组成的重点小组对概念地图特征,深度和灵活性的平衡,提出了不同的意见.
结论:
- 共识研讨会为开发反概念图提供了一种建设性的方法,该概念图包含多个卫生专业人士的观点.
- 由此产生的概念图被学生认为是有用和可接受的.
- 需要进一步的研究来优化协作概念图的创建,并确定增强学习者成果的特性.
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