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Perceptual learning modules in undergraduate dermatology teaching

BACKGROUND: Dermatological diagnosis depends highly on visual skills, and implicit nonanalytical proficiency plays a key role. To correctly diagnose skin diseases, the clinician needs visual skills, and intuitive recognition plays a key role. AIM: To investigate the effectiveness of digital perceptu...

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Autores principales: Salava, Alexander, Salmela, Viljami
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084265/
https://www.ncbi.nlm.nih.gov/pubmed/35340060
http://dx.doi.org/10.1111/ced.15201
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author Salava, Alexander
Salmela, Viljami
author_facet Salava, Alexander
Salmela, Viljami
author_sort Salava, Alexander
collection PubMed
description BACKGROUND: Dermatological diagnosis depends highly on visual skills, and implicit nonanalytical proficiency plays a key role. To correctly diagnose skin diseases, the clinician needs visual skills, and intuitive recognition plays a key role. AIM: To investigate the effectiveness of digital perceptual learning modules (PLMs) in undergraduate teaching, and how these affect medical students' learning about skin diseases. METHODS: This was a study performed in Finland, which enrolled 39 students of an undergraduate dermatology course. Online PLMs designed for dermatology, using different pictures of skin diseases were performed three times: before, during and at the end of the course. The modules provided four outcome measures: diagnostic accuracy (percentage of correct responses), a rating of confidence about the decision, fluency (response/decision time) and a list of features on which the decision was based. RESULTS: As the number of PLMs and the course duration increased, there were also improvements in the four measures, with a significant increase in diagnostic accuracy [from 66% to 94%; P < 0.001; partial η(2) (η(2) (p)) = 0.92], fluency (as measured by a decrease in response time (from 10 to 6 s; P < 0 0.001; η(2) (p) = 0.69) and self‐perceived confidence (2.5 to 4.3; P < 0 0.001, η(2) (p) = 0.86) with subsequent PLMs and course duration. There was a diversification of recognized features, an increase in pattern recognition, and better attention to localization and contextual association. Based on student feedback, the PLMs functioned well online, and enhanced motivation and learning. CONCLUSION: PLMs increased diagnostic accuracy, had a positive effect on learning outcomes and were easily integrated alongside clinical teaching. Considering the current era of digital technologies, we believe that there is potential for wider use of PLMs to improve visual skills and strengthen implicit learning in dermatology.
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spelling pubmed-100842652023-04-11 Perceptual learning modules in undergraduate dermatology teaching Salava, Alexander Salmela, Viljami Clin Exp Dermatol Original Articles BACKGROUND: Dermatological diagnosis depends highly on visual skills, and implicit nonanalytical proficiency plays a key role. To correctly diagnose skin diseases, the clinician needs visual skills, and intuitive recognition plays a key role. AIM: To investigate the effectiveness of digital perceptual learning modules (PLMs) in undergraduate teaching, and how these affect medical students' learning about skin diseases. METHODS: This was a study performed in Finland, which enrolled 39 students of an undergraduate dermatology course. Online PLMs designed for dermatology, using different pictures of skin diseases were performed three times: before, during and at the end of the course. The modules provided four outcome measures: diagnostic accuracy (percentage of correct responses), a rating of confidence about the decision, fluency (response/decision time) and a list of features on which the decision was based. RESULTS: As the number of PLMs and the course duration increased, there were also improvements in the four measures, with a significant increase in diagnostic accuracy [from 66% to 94%; P < 0.001; partial η(2) (η(2) (p)) = 0.92], fluency (as measured by a decrease in response time (from 10 to 6 s; P < 0 0.001; η(2) (p) = 0.69) and self‐perceived confidence (2.5 to 4.3; P < 0 0.001, η(2) (p) = 0.86) with subsequent PLMs and course duration. There was a diversification of recognized features, an increase in pattern recognition, and better attention to localization and contextual association. Based on student feedback, the PLMs functioned well online, and enhanced motivation and learning. CONCLUSION: PLMs increased diagnostic accuracy, had a positive effect on learning outcomes and were easily integrated alongside clinical teaching. Considering the current era of digital technologies, we believe that there is potential for wider use of PLMs to improve visual skills and strengthen implicit learning in dermatology. John Wiley and Sons Inc. 2022-05-22 2022-12 /pmc/articles/PMC10084265/ /pubmed/35340060 http://dx.doi.org/10.1111/ced.15201 Text en © 2022 The Authors. Clinical and Experimental Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Salava, Alexander
Salmela, Viljami
Perceptual learning modules in undergraduate dermatology teaching
title Perceptual learning modules in undergraduate dermatology teaching
title_full Perceptual learning modules in undergraduate dermatology teaching
title_fullStr Perceptual learning modules in undergraduate dermatology teaching
title_full_unstemmed Perceptual learning modules in undergraduate dermatology teaching
title_short Perceptual learning modules in undergraduate dermatology teaching
title_sort perceptual learning modules in undergraduate dermatology teaching
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10084265/
https://www.ncbi.nlm.nih.gov/pubmed/35340060
http://dx.doi.org/10.1111/ced.15201
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