Challenges for future directions for artificial intelligence integrated nursing simulation education.

IF 1 Q3 NURSING
Korean Journal of Women Health Nursing Pub Date : 2023-09-01 Epub Date: 2023-09-26 DOI:10.4069/kjwhn.2023.09.06.1
Sunyoung Jung
{"title":"Challenges for future directions for artificial intelligence integrated nursing simulation education.","authors":"Sunyoung Jung","doi":"10.4069/kjwhn.2023.09.06.1","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":30467,"journal":{"name":"Korean Journal of Women Health Nursing","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565529/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Journal of Women Health Nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4069/kjwhn.2023.09.06.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/26 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0

Abstract

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.

人工智能综合护理模拟教育未来方向的挑战。
人工智能(AI)具有巨大的潜力,可以改变我们培养未来卫生专业人员的方式。尽管人工智能可以提高护理模拟的真实性、参与度和个性化,但解决与人工智能的技术、教学方法和伦理考虑相关的任何问题也很重要。在护理模拟教育中,人工智能并不能取代护士教育者的宝贵作用,但可以通过促进跨学科合作、教师发展和学习者自我指导来提高模拟的教育效果。我们应该继续探索、创新和调整我们的教学方法,为护理学生提供尽可能好的教育。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Korean Journal of Women Health Nursing
Korean Journal of Women Health Nursing Nursing-Maternity and Midwifery
CiteScore
1.50
自引率
33.30%
发文量
28
审稿时长
8 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信