Title
Optimizing Learning In Surgical Simulations: Guidelines From The Science Of Learning And Human Performance
Keywords
Cognition; Feedback; Optimization; Simulation; Training
Abstract
Simulation-based training is rapidly becoming an integral part of surgical training. However, the effectiveness of this type of training is as dependent on the manner in which it is implemented and delivered as it is on the simulator itself. In this article, the authors identify specific elements from the science of learning and human performance that may assist educators in optimizing the effects of simulation-based training. These elements include scenario design, feedback, conditions of practice, and others. Specific guidelines for simulation-based surgical training are provided. © 2010 Elsevier Inc.
Publication Date
6-1-2010
Publication Title
Surgical Clinics of North America
Volume
90
Issue
3
Number of Pages
583-603
Document Type
Review
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.suc.2010.02.006
Copyright Status
Unknown
Socpus ID
77953083754 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77953083754
STARS Citation
Cannon-Bowers, Janis A.; Bowers, Clint; and Procci, Katelyn, "Optimizing Learning In Surgical Simulations: Guidelines From The Science Of Learning And Human Performance" (2010). Scopus Export 2010-2014. 1195.
https://stars.library.ucf.edu/scopus2010/1195