Optimizing learning in surgical simulations: guidelines from the science of learning and human performance

Janis A Cannon-Bowers; Clint Bowers; Katelyn Procci

doi:10.1016/j.suc.2010.02.006

Optimizing learning in surgical simulations: guidelines from the science of learning and human performance

Surg Clin North Am. 2010 Jun;90(3):583-603. doi: 10.1016/j.suc.2010.02.006.

Authors

Janis A Cannon-Bowers¹, Clint Bowers, Katelyn Procci

Affiliation

¹ Institute for Simulation & Training, University of Central Florida, Orlando, FL 32826, USA. jancb@mail.ucf.edu

PMID: 20497828
DOI: 10.1016/j.suc.2010.02.006

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.

Publication types

Review

MeSH terms

Competency-Based Education / organization & administration*
Computer-Assisted Instruction
General Surgery / education*
Humans
Knowledge of Results, Psychological
Motivation
Motor Skills
Practice Guidelines as Topic
Problem-Based Learning / organization & administration*