Nurse Educators' Concerns of GenAI in Education

Scoping Review of Technical Factors

Datos Bibliográficos

ID21456384
AutoresRagi George (0009-0007-4882-2547, Azusa Pacific University), Sharon K Titu (0000-0002-5148-9366), Sharon K Titus, Denise R Gehring (0000-0003-1178-4712)
Año2025
Volumen64
Número8
Páginas503-510
Fecha de publicación2025-08-01
Open AccessNo
TipoARTICLE
RevistaJournal of Nursing Education (JOURNAL)
Identificadores de la revistaISSN: 0148-4834 • E-ISSN: 1938-2421
EditorialSLACK, Inc (PUBLISHER)
DOI10.3928/01484834-20250519-02
PMID40801509
OpenAlexW4413110897
IdiomaEN
Referencias citadas33

BACKGROUND: Generative artificial intelligence (GenAI) has greatly affected higher education since its release in 2022. Academic nurse educators are being called to implement GenAI; however, some have concerns. This article sought to identify and describe the existing evidence on nurse educators' perceived concerns regarding the use of GenAI in nurse education. METHOD: This scoping review was conducted using the Joanna Briggs Institute Methodology and reported using PRISMA-ScR guidelines; a total of736 articles from eight databases were reviewed. Thirty articles met the inclusion criteria. Data were extracted using an author-created Data Extraction Instrument, and thematic analysis was performed. RESULTS: Included are 25 sources on the theme of technical factors and subthemes of data inaccuracy, data bias, access inequity, privacy and confidentiality breach, lack of policies and guidelines, and faculty workload. CONCLUSION: As nursing education continues to become more technology-driven, educators need to receive professional development training on its use in nursing programs

Confidentiality · Data extraction · Inclusion (mineral) · Medical education · MEDLINE · Nurse education · Nurse educator · Political science · Professional development · Qualitative research · Registered nurse · Sociology · Thematic analysis · Workload · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Computer Science · Medicine · Nursing · Psychology · Simulation-Based Education in Healthcare

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