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

Journal: BMC nursing
Published Date:

Abstract

BACKGROUND: 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. METHODS: 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. RESULTS: Of the 1,251 articles retrieved, we identified 103 articles for inclusion in the review. There were 44 discussion/opinion/conference papers and 59 empirical research papers. Gen AI has predominantly been used for content creation simulation, personalised learning, tutoring, skill development and assessment. Students and Educators describe mixed attitudes towards the implementation of Gen AI, with several ethical concerns regarding the application of Gen AI in nursing education evident, including privacy, transparency, bias, and accountability issues. CONCLUSION: While there is growing openness to Gen AI, a body of work remains regarding ethical and educational challenges. Recommendations for educational practice and curriculum development include a need for clear policies and guidelines to ensure the ethical use of Gen AI resources by educators and students. Further research is needed to understand long-term effects and promote responsible implementation within the context of nursing education.

Authors

  • Philip Hardie
    School of Nursing & Midwifery, Trinity College Dublin, Dublin, Ireland. [email protected].
  • Andrew Darley
    School of Nursing, Midwifery & Health Systems, University College Dublin, Dublin, Ireland.
  • Rosemarie Derwin
    School of Nursing and Midwifery, RCSI University of Medicine and Health Sciences, Dublin, Ireland. Electronic address: [email protected].
  • Jessica Eustace-Cook
    The Library, Trinity College Dublin, Dublin, Ireland.
  • Sean Kearns
    School of Nursing, Midwifery & Health Systems, University College Dublin, Dublin, Ireland.
  • Barry Mc Brien
    School of Nursing & Midwifery, Trinity College Dublin, Dublin, Ireland.
  • Aysha Siddiquee
    Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
  • David Zheng
    School of Nursing, University of Pennsylvania, Philadelphia, United States.
  • Mary Mooney
    School of Nursing & Midwifery, Trinity College Dublin, Dublin, Ireland.

Keywords

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