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通过一致性学习(LbC)来发展专业推理技能:AMEE 指南第 141 号。

Learning by concordance (LbC) to develop professional reasoning skills: AMEE Guide No. 141.

机构信息

Faculté de médecine, Université de Montréal, Montréal, Canada.

Centre de pédagogie appliquée aux sciences de la santé (CPASS), Université de Montréal, Montréal, Canada.

出版信息

Med Teach. 2021 Jun;43(6):614-621. doi: 10.1080/0142159X.2021.1900554. Epub 2021 Mar 29.

Abstract

Developing effective clinical reasoning is central to health professions education. Learning by concordance (LbC) is an on-line educational strategy that makes learners practice reasoning competency in case-based clinical situations. The questions asked are similar to those professionals ask themselves in their practice and participant answers are compared to those of a reference panel. When participants answer the questions, they receive an automated feedback that is two-fold as they see (1) how the panelists respond and (2) justifications each panelist gives for their answer. This provides rich contextual knowledge about the situation, supplemented by a synthesis summarizing crucial points. As many educators in the health sciences are engaging in introducing innovative approaches, many consider building LbC learning modules. Elaborating, designing and implementing a LbC tool remain a challenge. This AMEE Guide describes the steps and elements to be considered when designing a LbC tool, drawing on examples from distinct health professions: medicine, nursing, physiotherapy, and dentistry. Specifically, the following elements will be discussed: (1) LbC theoretical underpinnings; (2) principles of LbC questioning; (3) goals of the concordance-based activity; (4) nature of reasoning tasks; (5) content/levels of complexity; (6) reference panel; (7) feedback/synthesis messages; (8) on-line learning platforms.

摘要

发展有效的临床推理能力是健康专业教育的核心。一致性学习(LbC)是一种在线教育策略,使学习者在基于案例的临床情境中练习推理能力。提出的问题与专业人员在实践中提出的问题相似,参与者的答案与参考小组的答案进行比较。当参与者回答问题时,他们会收到自动反馈,他们可以看到(1)小组成员的回答和(2)每位小组成员对其答案的理由,从而获得关于情况的丰富背景知识,并附有总结关键点的综合信息。由于许多健康科学教育工作者都在引入创新方法,因此许多人都在考虑构建 LbC 学习模块。精心设计、设计和实施 LbC 工具仍然是一个挑战。本 AMEE 指南介绍了设计 LbC 工具时要考虑的步骤和要素,借鉴了来自不同健康专业领域的示例:医学、护理、物理治疗和牙科。具体来说,将讨论以下要素:(1)LbC 理论基础;(2)LbC 提问原则;(3)基于一致性的活动目标;(4)推理任务的性质;(5)内容/复杂性水平;(6)参考小组;(7)反馈/综合消息;(8)在线学习平台。

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