发展数字临床模拟的多样性,公平性和包容性的大规模设置:设计考虑的有效实施规模

Elizabeth Borneman, Joshua Littenberg-Tobias, J. Reich
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引用次数: 3

摘要

数字临床模拟(dcs)是一种很有前途的工具,用于在各种领域的多样性,公平性和包容性(DEI)问题上进行专业学习。尽管数字临床模拟可以集成到大规模的学习环境中,但人们对如何设计这些类型的模拟以使它们能够有效地扩展知之甚少。我们描述了一种名为杰里米日记的数字临床模拟工具的两项研究结果。在研究1中,我们在一个真人主持的现场研讨会中实现了这个模拟。我们发现参与者积极地描述了他们的学习经历,并报告了态度的变化。在研究2中,我们在在线课程中使用了模拟,但用异步的、基于文本的促进脚本改编代替了人工促进者。虽然研究2中的学习者积极地描述了模拟中的经历,但我们没有观察到态度的变化。我们讨论了这些发现对大规模设计dcs的影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing Digital Clinical Simulations for Large-Scale Settings on Diversity, Equity, and Inclusion: Design Considerations for Effective Implementation at Scale
Digital clinical simulations (DCSs) are a promising tool for professional learning on diversity, equity, and inclusion (DEI) issues across a variety of fields. Although digital clinical simulations can be integrated into large-scale learning environments, less is known about how to design these types of simulations so they can scale effectively. We describe the results of two studies of a digital clinical simulation tool called Jeremy's Journal. In Study 1, we implemented this simulation in an in-person workshop with a human facilitator. We found that participants described their learning experiences positively and reported changes in attitudes. In Study 2, we used the simulation within an online course but replaced the human facilitator with an asynchronous, text-based adaptation of the facilitation script. Although learners in Study 2 described the experience in the simulation positively, we did not observe changes in attitudes. We discuss the implications of these findings for the design of DCSs at scale
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