TY - JOUR
T1 - Debriefing Is Germane to Simulation-Based Learning
T2 - Parsing Cognitive Load Components and the Effect of Debriefing
AU - Miller, Christina R.
AU - Greer, Sara K.
AU - Toy, Serkan
AU - Schiavi, Adam
N1 - Publisher Copyright:
© Lippincott Williams & Wilkins.
PY - 2025
Y1 - 2025
N2 - Introduction Cognitive load (CL) theory provides a framework for optimizing learning in simulation. Measures of CL components (intrinsic [IL], extraneous [EL] and germane [GL]) may inform simulation design but lack validity evidence. The optimal timing for CL assessment and contributions of debriefing to CL are not established. Methods This prospective observational study assessed self-reported CL for first-year anesthesiology residents during 10 individual-learner simulations. Following each simulation and before debriefing, participants completed 4 CL measures: Paas scale, National Aeronautics and Space Administration-Task Load Index (NASA-TLX), Cognitive Load Component questionnaire (CLC) and Cognitive Load Assessment Scales in Simulation (CLAS-Sim). After debriefing, participants repeated the Paas and CLAS-Sim. Results Twenty-nine first-year anesthesiology residents participated. Correlations were significant among all total CL measures (r range = 0.51-0.69) and between CLC and CLAS-Sim IL (r = 0.66), EL (r = 0.41), and GL (r = 0.61) (all P < 0.01). We observed a significant interaction between total CL measures and case complexity, and a significant main effect of case complexity for CLC and CLAS-Sim IL, with no main effect for IL measure. The CLAS-Sim EL was higher (P = 0.001) than respective CLC scales across cases, with no difference for GL. Participants reported higher CLAS-Sim GL after (versus before) debriefing (P < 0.001), with no difference in IL, EL, or Paas scores. Conclusions This study provides further validity evidence for the CLAS-Sim and demonstrates generalizability in a different population of medical trainees. The CLAS-Sim GL increases following debriefing, reflecting expected learning, demonstrating initial GL scale validity evidence.
AB - Introduction Cognitive load (CL) theory provides a framework for optimizing learning in simulation. Measures of CL components (intrinsic [IL], extraneous [EL] and germane [GL]) may inform simulation design but lack validity evidence. The optimal timing for CL assessment and contributions of debriefing to CL are not established. Methods This prospective observational study assessed self-reported CL for first-year anesthesiology residents during 10 individual-learner simulations. Following each simulation and before debriefing, participants completed 4 CL measures: Paas scale, National Aeronautics and Space Administration-Task Load Index (NASA-TLX), Cognitive Load Component questionnaire (CLC) and Cognitive Load Assessment Scales in Simulation (CLAS-Sim). After debriefing, participants repeated the Paas and CLAS-Sim. Results Twenty-nine first-year anesthesiology residents participated. Correlations were significant among all total CL measures (r range = 0.51-0.69) and between CLC and CLAS-Sim IL (r = 0.66), EL (r = 0.41), and GL (r = 0.61) (all P < 0.01). We observed a significant interaction between total CL measures and case complexity, and a significant main effect of case complexity for CLC and CLAS-Sim IL, with no main effect for IL measure. The CLAS-Sim EL was higher (P = 0.001) than respective CLC scales across cases, with no difference for GL. Participants reported higher CLAS-Sim GL after (versus before) debriefing (P < 0.001), with no difference in IL, EL, or Paas scores. Conclusions This study provides further validity evidence for the CLAS-Sim and demonstrates generalizability in a different population of medical trainees. The CLAS-Sim GL increases following debriefing, reflecting expected learning, demonstrating initial GL scale validity evidence.
KW - Cognitive load theory
KW - cognitive load
KW - debriefing
KW - germane load
KW - simulation education
KW - simulation in health care
UR - http://www.scopus.com/inward/record.url?scp=105001721023&partnerID=8YFLogxK
U2 - 10.1097/SIH.0000000000000854
DO - 10.1097/SIH.0000000000000854
M3 - Article
C2 - 40136013
AN - SCOPUS:105001721023
SN - 1559-2332
JO - Simulation in Healthcare
JF - Simulation in Healthcare
M1 - 10.1097/SIH.0000000000000854
ER -