Challenges for future directions for artificial intelligence integrated nursing simulation education

被引:11
作者
Jung, Sunyoung [1 ,2 ]
机构
[1] Daegu Catholic Univ, Coll Nursing, Daegu, South Korea
[2] Daegu Catholic Univ, Res Inst Nursing Sci, Daegu, South Korea
来源
KOREAN JOURNAL OF WOMEN HEALTH NURSING | 2023年 / 29卷 / 03期
关键词
Artificial intelligence; Nursing; Simulation; STANDARDS; PRACTICE(TM);
D O I
10.4069/kjwhn.2023.09.06.1
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
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.
引用
收藏
页码:239 / 242
页数:4
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