Influencing Mindsets and Motivation in Procedural Skills Learning: Two Randomized Studies.


Journal

Journal of surgical education
ISSN: 1878-7452
Titre abrégé: J Surg Educ
Pays: United States
ID NLM: 101303204

Informations de publication

Date de publication:
Historique:
received: 12 04 2018
revised: 16 08 2018
accepted: 27 09 2018
pubmed: 27 11 2018
medline: 20 8 2020
entrez: 27 11 2018
Statut: ppublish

Résumé

An incremental (growth) theory of intelligence (mindset), compared with an entity (fixed) mindset, has been associated with improved motivation and performance. Interventions to induce incremental beliefs have improved performance on non-surgical motor tasks. We sought to evaluate the impact of 2 brief interventions to induce incremental beliefs in the context of learning a surgical task. Two randomized experiments. Secondary school students participating in medical simulation-based training activities at an academic medical center. We created 4 instructional messages intended to influence mindsets (two 60-second videos in Study 1, 2 fabricated "journal articles" in Study 2). In each study, one message emphasized that ability improves with practice (incremental); the other emphasized that ability is fixed (entity). After reviewing their randomly-assigned message, participants completed a laparoscopic cutting task as many times as they desired. Measurements included performance (product quality, self-reported task, and completion time), task persistence (repetitions), and entity beliefs. Two hundred and three students completed Study 1. Postevent entity beliefs (1 = lowest, 6 = highest) were similar between groups (incremental, 2.0vs entity, 2.0; p = 0.78). Contrary to hypothesis, the incremental video group demonstrated slower time (276vs 191 seconds; p < 0.0001), lower product quality (7.2vs 3.8mm deviation; p < 0.0001), and fewer task repetitions (1.4vs 1.8; p = 0.02). In Study 2, 113 participants provided outcomes related to mindset beliefs, but only 14 provided usable performance outcomes. Postevent entity beliefs were lower in the incremental article group (1.7vs 2.4; p < 0.0001). Task time (507vs 585 seconds; p = 0.40) and quality (7.1vs 7.5mm deviation; p = 0.85) were similar between groups. Brief motivational interventions can influence procedural performance and motivation. We need to better understand motivation and other affective influences on procedural skills learning. Mindset theory shows promise in this regard.

Identifiants

pubmed: 30473262
pii: S1931-7204(18)30274-5
doi: 10.1016/j.jsurg.2018.09.018
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

652-663

Informations de copyright

Copyright © 2018 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Auteurs

David A Cook (DA)

Mayo Clinic Multidisciplinary Simulation Center, Mayo Clinic College of Medicine and Science, Rochester, Minnesota; Division of General Internal Medicine, Mayo Clinic, Rochester, Minnesota. Electronic address: cook.david33@mayo.edu.

Becca L Gas (BL)

Center for Clinical and Translational Sciences, Mayo Clinic, Rochester, Minnesota; Department of Subspecialty General Surgery, Mayo Clinic, Rochester, Minnesota. Electronic address: gas.becca@mayo.edu.

David R Farley (DR)

Department of Subspecialty General Surgery, Mayo Clinic, Rochester, Minnesota. Electronic address: farley.david@mayo.edu.

Matthew Lineberry (M)

Zamierowski Institute for Experiential Learning, University of Kansas Medical Center and Health System, Kansas City, Kansas. Electronic address: mlineberry@kumc.edu.

Nimesh D Naik (ND)

Department of Subspecialty General Surgery, Mayo Clinic, Rochester, Minnesota. Electronic address: naik.nimesh@mayo.edu.

Francisco J Cardenas Lara (FJ)

Department of Subspecialty General Surgery, Mayo Clinic, Rochester, Minnesota. Electronic address: lara.francisco@mayo.edu.

Anthony R Artino (AR)

Department of Medicine, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland. Electronic address: anthony.artino@usuhs.edu.

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