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Developing Digital Clinical Simulations for Large-Scale Settings on Diversity, Equity, and Inclusion: Design Considerations for Effective Implementation at Scale
Name
L_S_2020_Paper___Digital_Clinical_Simulations__WIP_Submission_2020-07-02_1.pdf
Description
Accepted version
Size
117.9 KB
Format
Adobe PDF
Checksum (MD5)
7aabbc10edf44e368ecc1fd0587dcea8
Author(s)
Borneman, Elizabeth
Littenberg-Tobias, Joshua
Reich, Justin
Date Issued
August 2020
Journal
Proceedings of the Seventh ACM Conference on Learning @ Scale
Publisher
Association for Computing Machinery (ACM)
Citation
Borneman, Elizabeth et al. "Developing Digital Clinical Simulations for Large-Scale Settings on Diversity, Equity, and Inclusion: Design Considerations for Effective Implementation at Scale." Proceedings of the Seventh ACM Conference on Learning @ Scale, August 2020, virtual event, USA, Association for Computing Machinery, August 2020.
Version
Author's final manuscript
Abstract
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.
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.1145/3386527.3405947
