The use of Artificial Intelligence in nursing education: opportunities, challenges and solutions

Artificial Intelligence (AI) has the potential to transform nursing education by enhancing instructional quality and better preparing students for future healthcare demands. This traditional review examines opportunities, challenges, and strategies for AI integration into nursing education, drawing on full-text studies indexed in Web of Science, Scopus, and Google Scholar. AI supports professional competence and reduces educators’ workload through virtual patient simulations, instant feedback, personalized learning, improved accessibility, time efficiency, and the promotion of analytical and critical thinking. However, unresolved ethical and legal issues, misinformation risks, academic misconduct, resistance to technology, financial constraints, and limited infrastructure hinder effective implementation. Conscious, ethical, and sustainable integration of AI can yield substantial benefits, yet adoption in developing countries remains insufficient. This review offers a practical roadmap for educators, policymakers, and researchers to leverage AI effectively in nursing education.

Authors

Publication Details

Journal
Journal of Nursing Care Research
Published
2025-09-19
DOI
https://doi.org/10.51271/jncr-0035
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.31
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article

The use of Artificial Intelligence in nursing education: opportunities, challenges and solutions

İnci Mercan Annak, Nurcan Düzgün
2 citations
Journal of Nursing Care Research
Artificial Intelligence in Healthcare and Education
1.31
article

The use of Artificial Intelligence in nursing education: opportunities, challenges and solutions

İnci Mercan Annak, Nurcan Düzgün
article en
2 citations

Abstract

Artificial Intelligence (AI) has the potential to transform nursing education by enhancing instructional quality and better preparing students for future healthcare demands. This traditional review examines opportunities, challenges, and strategies for AI integration into nursing education, drawing on full-text studies indexed in Web of Science, Scopus, and Google Scholar. AI supports professional competence and reduces educators’ workload through virtual patient simulations, instant feedback, personalized learning, improved accessibility, time efficiency, and the promotion of analytical and critical thinking. However, unresolved ethical and legal issues, misinformation risks, academic misconduct, resistance to technology, financial constraints, and limited infrastructure hinder effective implementation. Conscious, ethical, and sustainable integration of AI can yield substantial benefits, yet adoption in developing countries remains insufficient. This review offers a practical roadmap for educators, policymakers, and researchers to leverage AI effectively in nursing education.

Journal of Nursing Care ResearchVol. 2(3)
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
1.31
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The use of Artificial Intelligence in nursing education: opportunities, challenges and solutions — İnci Mercan Annak, Nurcan Düzgün · Journal of Nursing Care Research (2025) | TGRS Research Map | TGRS