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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
Descripción
Sumario: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.