Literature DB >> 26152492

Limitations of subjective cognitive load measures in simulation-based procedural training.

Laura M Naismith1,2, Jeffrey J H Cheung1, Charlotte Ringsted1,3, Rodrigo B Cavalcanti2,4.   

Abstract

CONTEXT: The effective implementation of cognitive load theory (CLT) to optimise the instructional design of simulation-based training requires sensitive and reliable measures of cognitive load. This mixed-methods study assessed relationships between commonly used measures of total cognitive load and the extent to which these measures reflected participants' experiences of cognitive load in simulation-based procedural skills training.
METHODS: Two groups of medical residents (n = 38) completed three questionnaires after participating in simulation-based procedural skills training sessions: the Paas Cognitive Load Scale; the NASA Task Load Index (TLX), and a cognitive load component (CLC) questionnaire we developed to assess total cognitive load as the sum of intrinsic load (how complex the task is), extraneous load (how the task is presented) and germane load (how the learner processes the task for learning). We calculated Pearson's correlation coefficients to assess agreement among these instruments. Group interviews explored residents' perceptions about how the simulation sessions contributed to their total cognitive load. Interviews were audio-recorded, transcribed and subjected to qualitative content analysis.
RESULTS: Total cognitive load scores differed significantly according to the instrument used to assess them. In particular, there was poor agreement between the Paas Scale and the TLX. Quantitative and qualitative findings supported intrinsic cognitive load as synonymous with mental effort (Paas Scale), mental demand (TLX) and task difficulty and complexity (CLC questionnaire). Additional qualitative themes relating to extraneous and germane cognitive loads were not reflected in any of the questionnaires.
CONCLUSIONS: The Paas Scale, TLX and CLC questionnaire appear to be interchangeable as measures of intrinsic cognitive load, but not of total cognitive load. A more complete understanding of the sources of extraneous and germane cognitive loads in simulation-based training contexts is necessary to determine how best to measure and assess their effects on learning and performance outcomes.
© 2015 John Wiley & Sons Ltd.

Entities:  

Mesh:

Year:  2015        PMID: 26152492     DOI: 10.1111/medu.12732

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  19 in total

1.  Cognitive load and performance in immersive virtual reality versus conventional virtual reality simulation training of laparoscopic surgery: a randomized trial.

Authors:  Joakim Grant Frederiksen; Stine Maya Dreier Sørensen; Lars Konge; Morten Bo Søndergaard Svendsen; Morten Nobel-Jørgensen; Flemming Bjerrum; Steven Arild Wuyts Andersen
Journal:  Surg Endosc       Date:  2019-06-06       Impact factor: 4.584

2.  Systematic review of measurement tools to assess surgeons' intraoperative cognitive workload.

Authors:  R D Dias; M C Ngo-Howard; M T Boskovski; M A Zenati; S J Yule
Journal:  Br J Surg       Date:  2018-02-21       Impact factor: 6.939

3.  Measuring cognitive load: mixed results from a handover simulation for medical students.

Authors:  John Q Young; David M Irby; Maria-Louise Barilla-LaBarca; Olle Ten Cate; Patricia S O'Sullivan
Journal:  Perspect Med Educ       Date:  2016-02

4.  Development and Validation of Two Instruments Measuring Intrinsic, Extraneous, and Germane Cognitive Load.

Authors:  Melina Klepsch; Florian Schmitz; Tina Seufert
Journal:  Front Psychol       Date:  2017-11-16

Review 5.  Measuring Cognitive Load in Embodied Learning Settings.

Authors:  Alexander Skulmowski; Günter Daniel Rey
Journal:  Front Psychol       Date:  2017-08-02

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

Review 7.  We need more replication research - A case for test-retest reliability.

Authors:  Jimmie Leppink; Patricia Pérez-Fuster
Journal:  Perspect Med Educ       Date:  2017-06

8.  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

9.  Practising what we preach: using cognitive load theory for workshop design and evaluation.

Authors:  Laura M Naismith; Faizal A Haji; Matthew Sibbald; Jeffrey J H Cheung; Walter Tavares; Rodrigo B Cavalcanti
Journal:  Perspect Med Educ       Date:  2015-12

10.  Cognitive Load and Self-Determination Theories Applied to E-Learning: Impact on Students' Participation and Academic Performance.

Authors:  Tiago de Araujo Guerra Grangeia; Bruno de Jorge; Daniel Franci; Thiago Martins Santos; Maria Silvia Vellutini Setubal; Marcelo Schweller; Marco Antonio de Carvalho-Filho
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.