Estel·la Ramírez-Baraldes, Daniel García-Gutiérrez, Cristina García-Salido
{"title":"Artificial Intelligence in Nursing: New Opportunities and Challenges","authors":"Estel·la Ramírez-Baraldes, Daniel García-Gutiérrez, Cristina García-Salido","doi":"10.1111/ejed.70033","DOIUrl":null,"url":null,"abstract":"<p>To explore the opportunities and challenges of artificial intelligence (AI) in nursing and its impact. Bibliographic review using Arksey and O'Malley's framework, enhanced by Levac, Colquhoun and O'Brien and following PRISMA guidelines, including qualitative and mixed studies. MeSH terms and keywords such as nursing education and ethical considerations were used in databases such as PubMed, Scopus, Web of Science, CINAHL, IEEE Xplore and Google Scholar. Of all, 53 studies were included, highlighting various opportunities and challenges of AI integration and opportunities for personalised learning, training improvement and evaluation. Highlighting challenges related to academic integrity, accuracy, data privacy and security, for the development of critical thinking skills. The integration of AI in nursing education offers significant advantages for improving the quality and effectiveness of education, such as academic integrity, critical thinking and equitable access, for this reason, faculty training should be geared toward the integration of AI in nursing education.</p>","PeriodicalId":47585,"journal":{"name":"European Journal of Education","volume":"60 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejed.70033","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Education","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ejed.70033","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Artificial Intelligence in Nursing: New Opportunities and Challenges
To explore the opportunities and challenges of artificial intelligence (AI) in nursing and its impact. Bibliographic review using Arksey and O'Malley's framework, enhanced by Levac, Colquhoun and O'Brien and following PRISMA guidelines, including qualitative and mixed studies. MeSH terms and keywords such as nursing education and ethical considerations were used in databases such as PubMed, Scopus, Web of Science, CINAHL, IEEE Xplore and Google Scholar. Of all, 53 studies were included, highlighting various opportunities and challenges of AI integration and opportunities for personalised learning, training improvement and evaluation. Highlighting challenges related to academic integrity, accuracy, data privacy and security, for the development of critical thinking skills. The integration of AI in nursing education offers significant advantages for improving the quality and effectiveness of education, such as academic integrity, critical thinking and equitable access, for this reason, faculty training should be geared toward the integration of AI in nursing education.
期刊介绍:
The prime aims of the European Journal of Education are: - To examine, compare and assess education policies, trends, reforms and programmes of European countries in an international perspective - To disseminate policy debates and research results to a wide audience of academics, researchers, practitioners and students of education sciences - To contribute to the policy debate at the national and European level by providing European administrators and policy-makers in international organisations, national and local governments with comparative and up-to-date material centred on specific themes of common interest.