Cucci Federico, Marasciulo Dario, Romani Mattia, Soldano Giovanni, Cascio Donato, De Nunzio Giorgio, Caldararo Cosimo, Rubbi Ivan, Vitale Elsa, Lupo Roberto, Conte Luana
Città di Lecce Hospital, Gruppo Villa Maria, 73100 Lecce, Italy.
Health Governance Agency of the Calabria Region-Azienda Zero, 88100 Catanzaro, Italy.
Nurs Rep. 2025 Aug 1;15(8):283. doi: 10.3390/nursrep15080283.
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. 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. 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. 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.
人工智能（AI）是变革护理教育最具前景的创新之一，能使其更具互动性、个性化且以能力为基础。然而，其整合也引发了重大的伦理和实际问题。本范围综述旨在分析和总结关于人工智能在大学层面护理教育中应用的关键研究，重点关注其益处、挑战和未来前景。使用人群、概念和背景（PCC）框架进行了一项范围综述，目标是学术环境中的护理学生和教育工作者。在PubMed、Scopus和科学网数据库中进行了全面搜索。仅纳入以英文发表的同行评审原创研究。两名研究人员独立筛选研究，通过团队讨论解决任何分歧。采用叙述方式对数据进行综合分析。在最初识别的569篇文章中，有11项原创研究符合纳入标准。研究结果表明，基于人工智能的工具，如虚拟模拟器和ChatGPT，可以增强学生的学习体验、沟通技巧和临床准备能力。尽管如此，也发现了一些挑战，包括与模拟相关的焦虑增加、潜在的滥用以及与数据质量、隐私和学术诚信相关的伦理问题。人工智能为加强护理教育提供了重大机遇；然而，其实施必须以批判性意识和责任感来对待。至关重要的是，学生要培养数字能力和伦理敏感性，以充分利用人工智能的潜力，同时确保高质量教育和负责任的护理实践。
