The use of Artificial Intelligence in nursing education: opportunities, challenges and solutions
Year: 2025
Type: article
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.
Source: Journal of Nursing Care Research
DOI: 10.51271/jncr-0035
Authors: İnci Mercan Annak, Nurcan Düzgün
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4414392684