The Contribution of Artificial Intelligence in Nursing Education: A Scoping Review of the Literature.
Background and Aim: 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 an...
| Publicado en: | Nursing Reports Vol. 15; no. 8; pp. 283 - 298 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
MDPI
Aug2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187615781&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187615781 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2039439X EGNT jtl: Nursing Reports issn: 2039439X maglogo: N pubinfo: dt: Aug2025 vid: 15 iid: 8 pid: 97109 pub: MDPI artinfo: ui: 187615781 187615781 187615781 10.3390/nursrep15080283 187615781 ppf: 283 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The Contribution of Artificial Intelligence in Nursing Education: A Scoping Review of the Literature. aug: au: Cucci, Federico Marasciulo, Dario Romani, Mattia Soldano, Giovanni Cascio, Donato De Nunzio, Giorgio Caldararo, Cosimo Rubbi, Ivan Vitale, Elsa Lupo, Roberto Conte, Luana affil: Città di Lecce Hospital, Gruppo Villa Maria, 73100 Lecce, Italy sug: subj: Education, Nursing Artificial Intelligence Utilization Educational Technology Human Scoping Review PubMed Chatbot Simulations Learning Communication Skills Student Experiences Education, Clinical Ethics Data Security Privacy and Confidentiality Nursing Practice Accountability Quality of Nursing Care ab: Background and Aim: 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. Methods: 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. Results: 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. Conclusions: 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. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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