Korean J Women Health Nurs.  2023 Sep;29(3):239-242. 10.4069/kjwhn.2023.09.06.1.

Challenges for future directions for artificial intelligence integrated nursing simulation education

Affiliations
  • 1College of Nursing and Research Institute of Nursing Science, Daegu Catholic University, Daegu, Korea

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.

Keyword

Nursing; Simulation training; Artificial intelligence

Cited by  1 articles

Special issue on digital era education: tracing digital health transformation in women’s health nursing
Sook Jung Kang
Korean J Women Health Nurs. 2023;29(3):151-152.    doi: 10.4069/kjwhn.2023.09.15.


Reference

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