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Challenges for future directions for artificial intelligence integrated nursing simulation education

Artificial intelligence (AI) has tremendous potential to change the way we train future health professionals. Although AI can provide improved realism, engagement, and personalization in nursing simulations, it is also important to address any issues associated with the technology, teaching methods,...

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Detalles Bibliográficos
Autor principal: Jung, Sunyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Women Health Nursing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565529/
https://www.ncbi.nlm.nih.gov/pubmed/37813667
http://dx.doi.org/10.4069/kjwhn.2023.09.06.1
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author Jung, Sunyoung
author_facet Jung, Sunyoung
author_sort Jung, Sunyoung
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description Artificial intelligence (AI) has tremendous potential to change the way we train future health professionals. Although AI can provide improved realism, engagement, and personalization in nursing simulations, it is also important to address any issues associated with the technology, teaching methods, and ethical considerations of AI. In nursing simulation education, AI does not replace the valuable role of nurse educators but can enhance the educational effectiveness of simulation by promoting interdisciplinary collaboration, faculty development, and learner self-direction. We should continue to explore, innovate, and adapt our teaching methods to provide nursing students with the best possible education.
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spelling pubmed-105655292023-10-12 Challenges for future directions for artificial intelligence integrated nursing simulation education Jung, Sunyoung Korean J Women Health Nurs Special Issue Artificial intelligence (AI) has tremendous potential to change the way we train future health professionals. Although AI can provide improved realism, engagement, and personalization in nursing simulations, it is also important to address any issues associated with the technology, teaching methods, and ethical considerations of AI. In nursing simulation education, AI does not replace the valuable role of nurse educators but can enhance the educational effectiveness of simulation by promoting interdisciplinary collaboration, faculty development, and learner self-direction. We should continue to explore, innovate, and adapt our teaching methods to provide nursing students with the best possible education. Korean Society of Women Health Nursing 2023-09-30 2023-09-26 /pmc/articles/PMC10565529/ /pubmed/37813667 http://dx.doi.org/10.4069/kjwhn.2023.09.06.1 Text en Copyright © 2023 Korean Society of Women Health Nursing https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution 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 Special Issue
Jung, Sunyoung
Challenges for future directions for artificial intelligence integrated nursing simulation education
title Challenges for future directions for artificial intelligence integrated nursing simulation education
title_full Challenges for future directions for artificial intelligence integrated nursing simulation education
title_fullStr Challenges for future directions for artificial intelligence integrated nursing simulation education
title_full_unstemmed Challenges for future directions for artificial intelligence integrated nursing simulation education
title_short Challenges for future directions for artificial intelligence integrated nursing simulation education
title_sort challenges for future directions for artificial intelligence integrated nursing simulation education
topic Special Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565529/
https://www.ncbi.nlm.nih.gov/pubmed/37813667
http://dx.doi.org/10.4069/kjwhn.2023.09.06.1
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