Literature DB >> 27787677

Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool.

Adam Szulewski1, Andreas Gegenfurtner2, Daniel W Howes3, Marco L A Sivilotti4, Jeroen J G van Merriënboer5.   

Abstract

In general, researchers attempt to quantify cognitive load using physiologic and psychometric measures. Although the construct measured by both of these metrics is thought to represent overall cognitive load, there is a paucity of studies that compares these techniques to one another. The authors compared data obtained from one physiologic tool (pupillometry) to one psychometric tool (Paas scale) to explore whether they actually measured the construct of cognitive load as purported. Thirty-two participants with a range of resuscitation medicine experience and expertise completed resuscitation-medicine based multiple-choice-questions as well as arithmetic questions. Cognitive load, as measured by both tools, was found to be higher for the more difficult questions as well as for questions that were answered incorrectly (p < 0.001). The group with the least medical experience had higher cognitive load than both the intermediate and experienced groups when answering domain-specific questions (p = 0.023 and p = 0.003 respectively for the physiologic tool; p = 0.006 and p < 0.001 respectively for the psychometric tool). There was a strong positive correlation (Spearman's ρ = 0.827, p < 0.001 for arithmetic questions; Spearman's ρ = 0.606, p < 0.001 for medical questions) between the two cognitive load measurement tools. These findings support the validity argument that both physiologic and psychometric metrics measure the construct of cognitive load.

Entities:  

Keywords:  Cognitive load; Expertise; Eye-tracking; Psychometrics; Pupillometry; Resuscitation; Validity

Mesh:

Year:  2016        PMID: 27787677     DOI: 10.1007/s10459-016-9725-2

Source DB:  PubMed          Journal:  Adv Health Sci Educ Theory Pract        ISSN: 1382-4996            Impact factor:   3.853


  11 in total

1.  An exploratory investigation of the measurement of cognitive load on shift: Application of cognitive load theory in emergency medicine.

Authors:  Kimberly M Vella; Andrew K Hall; Jeroen J G van Merrienboer; Wilma M Hopman; Adam Szulewski
Journal:  AEM Educ Train       Date:  2021-08-01

Review 2.  Eye pupil - a window into central autonomic regulation via emotional/cognitive processing.

Authors:  N Ferencová; Z Višňovcová; L Bona Olexová; I Tonhajzerová
Journal:  Physiol Res       Date:  2021-12-30       Impact factor: 2.139

3.  Cognitive load and processes during chest radiograph interpretation in the emergency department across the spectrum of expertise.

Authors:  Michael Morra; Heather Braund; Andrew K Hall; Adam Szulewski
Journal:  AEM Educ Train       Date:  2021-08-01

4.  Effects of live and video simulation on clinical reasoning performance and reflection.

Authors:  Timothy J Cleary; Alexis Battista; Abigail Konopasky; Divya Ramani; Steven J Durning; Anthony R Artino
Journal:  Adv Simul (Lond)       Date:  2020-07-31

5.  Validity evidence for an instrument for cognitive load for virtual didactic sessions.

Authors:  Grace Hickam; Jaime Jordan; Mary R C Haas; Jason Wagner; David Manthey; Stephen John Cico; Margaret Wolff; Sally A Santen
Journal:  AEM Educ Train       Date:  2022-02-01

6.  Cognitive load predicts point-of-care ultrasound simulator performance.

Authors:  Sara Aldekhyl; Rodrigo B Cavalcanti; Laura M Naismith
Journal:  Perspect Med Educ       Date:  2018-02

7.  Impact of Using a 3D Visual Metaphor Serious Game to Teach History-Taking Content to Medical Students: Longitudinal Mixed Methods Pilot Study.

Authors:  Hussain Alyami; Mohammed Alawami; Mataroria Lyndon; Mohsen Alyami; Christin Coomarasamy; Marcus Henning; Andrew Hill; Frederick Sundram
Journal:  JMIR Serious Games       Date:  2019-09-26       Impact factor: 4.143

8.  Cortical modulation of pupillary function: systematic review.

Authors:  Costanza Peinkhofer; Daniel Kondziella; Gitte M Knudsen; Rita Moretti
Journal:  PeerJ       Date:  2019-05-07       Impact factor: 2.984

9.  Reliability and Validity of Pupillary Response During Dual-Task Balance in Parkinson Disease.

Authors:  Melike Kahya; Kelly E Lyons; Rajesh Pahwa; Abiodun E Akinwuntan; Jianghua He; Hannes Devos
Journal:  Arch Phys Med Rehabil       Date:  2020-09-18       Impact factor: 3.966

10.  The future of simulation-based medical education: Adaptive simulation utilizing a deep multitask neural network.

Authors:  Aaron J Ruberto; Dirk Rodenburg; Kyle Ross; Pritam Sarkar; Paul C Hungler; Ali Etemad; Daniel Howes; Daniel Clarke; James McLellan; Daryl Wilson; Adam Szulewski
Journal:  AEM Educ Train       Date:  2021-07-01
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