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临床模拟中的多模态评估:迈向精准教育的指南。

Multimodal Assessment in Clinical Simulations: A Guide for Moving Towards Precision Education.

作者信息

Schwengel Deborah, Villagrán Ignacio, Miller Geoffrey, Miranda Constanza, Toy Serkan

机构信息

Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD USA.

Health Sciences Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.

出版信息

Med Sci Educ. 2024 Nov 19;35(2):1025-1034. doi: 10.1007/s40670-024-02221-7. eCollection 2025 Apr.

Abstract

Technological advances and cutting-edge data analytics approaches give new prospects for using multimodal assessments in simulation-based medical education. These multimodal approaches consider the interaction of data obtained from multiple sources and can enhance our ability to assess the educational efficacy of simulations and optimize learning experiences for each individual learner. However, several challenges could jeopardize the successful implementation of this approach. We present a practical guide for integrating multimodal assessment in clinical simulation-based education, offering educators and researchers a systematic checklist to consider before undertaking these multimodal assessment initiatives.

摘要

技术进步和前沿的数据分析方法为在基于模拟的医学教育中使用多模态评估带来了新的前景。这些多模态方法考虑了从多个来源获得的数据之间的相互作用,能够增强我们评估模拟教育效果以及为每个学习者优化学习体验的能力。然而,若干挑战可能会危及这种方法的成功实施。我们提出了一份在基于临床模拟的教育中整合多模态评估的实用指南,为教育工作者和研究人员提供了一个在开展这些多模态评估举措之前需要考虑的系统清单。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2940/12058571/1ca50e09799d/40670_2024_2221_Fig1_HTML.jpg

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