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Developing Measures of Immersion and Motivation for Learning Technologies in Healthcare Simulation: A Pilot Study

INTRODUCTION: Medical education has benefitted from the introduction of new technology within recent years. Immersive devices, such as, 360-degree films and virtual reality have become new ways of simulating clinical experiences. The aim of the study was to validate and test reliability of a new mea...

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Autores principales: JACOBS, CHRIS, M. RIGBY, JACOB
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309165/
https://www.ncbi.nlm.nih.gov/pubmed/35910517
http://dx.doi.org/10.30476/JAMP.2022.95226.1632
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author JACOBS, CHRIS
M. RIGBY, JACOB
author_facet JACOBS, CHRIS
M. RIGBY, JACOB
author_sort JACOBS, CHRIS
collection PubMed
description INTRODUCTION: Medical education has benefitted from the introduction of new technology within recent years. Immersive devices, such as, 360-degree films and virtual reality have become new ways of simulating clinical experiences. The aim of the study was to validate and test reliability of a new measure of engagement. METHODS: A between-participants design of 2 groups viewing a clinical consultation on a 360-degree headset or 2D monitor was conducted following computer random allocation of 40 healthcare professionals recruited from scheduled teaching. Twenty-three were assigned to 360-degree and 17 to 2D Medias. Adapted Immersion Experience Questionnaire (AIEQ) and Abridged Intrinsic Motivation Inventory (AIMI) were modified to match factors relating to clinical encounters. AIEQ and AIMI were utilised as the data collection tool by each group following video viewing. Spearman’s rank correlation was used to assess relationship between immersion and motivation. Comparisons between 360-degree and 2D media responses were made using Wilcoxon’s signed ranks test. Internal reliability coefficients of adapted measures were calculated with Cronbach alpha scores. RESULTS: Total immersion scores were statistically higher in those experiencing 360 (p<0.05), with a median difference of 14.50 (95% CI 6.50-22.00). A positive correlation existed between the total AIEQ and total score of the AIMI in both groups (r(s) =0.88, n=17, p<0.001). Internal consistency and reliability was demonstrated with a high Cronbach alpha score for the AIEQ (α= 0.91). AIMI subscale alpha value was also high at (α= 0.95) which shows the measures to be of high internal reliability. CONCLUSIONS: Adaptation and validation of existing measures for use in healthcare education can be used to quantify levels of immersion and motivation. Standardising measures for use in evaluating new Technology Enhanced Learning is a step to aid understanding on how we develop these tools in medical education and how we might learn from immersive technology.
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spelling pubmed-93091652022-07-29 Developing Measures of Immersion and Motivation for Learning Technologies in Healthcare Simulation: A Pilot Study JACOBS, CHRIS M. RIGBY, JACOB J Adv Med Educ Prof Original Article INTRODUCTION: Medical education has benefitted from the introduction of new technology within recent years. Immersive devices, such as, 360-degree films and virtual reality have become new ways of simulating clinical experiences. The aim of the study was to validate and test reliability of a new measure of engagement. METHODS: A between-participants design of 2 groups viewing a clinical consultation on a 360-degree headset or 2D monitor was conducted following computer random allocation of 40 healthcare professionals recruited from scheduled teaching. Twenty-three were assigned to 360-degree and 17 to 2D Medias. Adapted Immersion Experience Questionnaire (AIEQ) and Abridged Intrinsic Motivation Inventory (AIMI) were modified to match factors relating to clinical encounters. AIEQ and AIMI were utilised as the data collection tool by each group following video viewing. Spearman’s rank correlation was used to assess relationship between immersion and motivation. Comparisons between 360-degree and 2D media responses were made using Wilcoxon’s signed ranks test. Internal reliability coefficients of adapted measures were calculated with Cronbach alpha scores. RESULTS: Total immersion scores were statistically higher in those experiencing 360 (p<0.05), with a median difference of 14.50 (95% CI 6.50-22.00). A positive correlation existed between the total AIEQ and total score of the AIMI in both groups (r(s) =0.88, n=17, p<0.001). Internal consistency and reliability was demonstrated with a high Cronbach alpha score for the AIEQ (α= 0.91). AIMI subscale alpha value was also high at (α= 0.95) which shows the measures to be of high internal reliability. CONCLUSIONS: Adaptation and validation of existing measures for use in healthcare education can be used to quantify levels of immersion and motivation. Standardising measures for use in evaluating new Technology Enhanced Learning is a step to aid understanding on how we develop these tools in medical education and how we might learn from immersive technology. Shiraz University of Medical Sciences 2022-07 /pmc/articles/PMC9309165/ /pubmed/35910517 http://dx.doi.org/10.30476/JAMP.2022.95226.1632 Text en Copyright: © Journal of Advances in Medical Education & Professionalism https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 Unported License, ( http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
JACOBS, CHRIS
M. RIGBY, JACOB
Developing Measures of Immersion and Motivation for Learning Technologies in Healthcare Simulation: A Pilot Study
title Developing Measures of Immersion and Motivation for Learning Technologies in Healthcare Simulation: A Pilot Study
title_full Developing Measures of Immersion and Motivation for Learning Technologies in Healthcare Simulation: A Pilot Study
title_fullStr Developing Measures of Immersion and Motivation for Learning Technologies in Healthcare Simulation: A Pilot Study
title_full_unstemmed Developing Measures of Immersion and Motivation for Learning Technologies in Healthcare Simulation: A Pilot Study
title_short Developing Measures of Immersion and Motivation for Learning Technologies in Healthcare Simulation: A Pilot Study
title_sort developing measures of immersion and motivation for learning technologies in healthcare simulation: a pilot study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309165/
https://www.ncbi.nlm.nih.gov/pubmed/35910517
http://dx.doi.org/10.30476/JAMP.2022.95226.1632
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