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Transforming Nursing Education with Artificial Intelligence: A Systematic Review (2010–2025)
0
Zitationen
9
Autoren
2026
Jahr
Abstract
To support implementation, this study recommends: (a) integrating AI-powered simulation into emergency care training, (b) deploying adaptive platforms to support at-risk learners, and (c) using automated tools for real-time formative feedback. Diagnostic accuracy is proposed as a measurable outcome to assess impact. The next step for educators is to initiate multi-site pilot programs over 6-12 months, evaluating improvements in learning outcomes, trust, and system integration.
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Autoren
Institutionen
- King Saud University(SA)
- Sultan Qaboos University(OM)
- University of Kelaniya(LK)
- International University of Business Agriculture and Technology(BD)
- Emory University(US)
- Hiroshima University(JP)
- National Institute of Nuclear Medicine & Allied Sciences(BD)
- Sylhet Agricultural University(BD)
- Sylhet International University(BD)
- Western Norway University of Applied Sciences(NO)