Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review

Generative Artificial Intelligence (Gen AI) is a type of artificial intelligence that can learn from and mimic large amounts of data to create content such as text, images, music, videos, code, and more, based on inputs or prompts. Gen AI technologies are being increasingly integrated into healthcare education, including the field of nursing, where they are utilised to support a range of pedagogical activities. PURPOSE: This scoping review examined and described the application of Gen AI as a teaching, learning and assessment strategy in Nursing education and examined the ethical implications of and attitudes towards its implementation.

We conducted a scoping review using a combination of methodological approaches, including Arksey and O'Malley's 5-step framework, the PRISMA-ScR guidelines, and JBI evidence synthesis methods and searched five databases: EMBASE (Elsevier), Web of Science Core (Clarivate), CINAHL & Medline (EBSCO), Applied Social Science Index and Abstracts, and ERIC (ProQuest). A wide search of grey literature was also conducted. Literature published in English between January 1st 2014, and July 1st 2025 was included in the review.