The Contribution of Artificial Intelligence in Nursing Education: A Scoping Review of the Literature

Abstract

<b>Background and Aim:</b> Artificial intelligence (AI) is among the most promising innovations for transforming nursing education, making it more interactive, personalized, and competency-based. However, its integration also raises significant ethical and practical concerns. This scoping review aims to analyze and summarize key studies on the application of AI in university-level nursing education, focusing on its benefits, challenges, and future prospects. <b>Methods:</b> A scoping review was conducted using the Population, Concept, and Context (PCC) framework, targeting nursing students and educators in academic settings. A comprehensive search was carried out across the PubMed, Scopus, and Web of Science databases. Only peer-reviewed original studies published in English were included. Two researchers independently screened the studies, resolving any disagreements through team discussion. Data were synthesized narratively. <b>Results:</b> Of the 569 articles initially identified, 11 original studies met the inclusion criteria. The findings indicate that AI-based tools-such as virtual simulators and ChatGPT-can enhance students' learning experiences, communication skills, and clinical preparedness. Nonetheless, several challenges were identified, including increased simulation-related anxiety, potential misuse, and ethical concerns related to data quality, privacy, and academic integrity. <b>Conclusions:</b> AI offers significant opportunities to enhance nursing education; however, its implementation must be approached with critical awareness and responsibility. It is essential that students develop both digital competencies and ethical sensitivity to fully leverage AI's potential while ensuring high-quality education and responsible nursing practice.

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