AIM We identify and describe the existing evidence on academic nurse educator (ANE) perceived concerns regarding the use of generative artificial intelligence (GenAI) in nurse education. BACKGROUND Since its recent… Click to show full abstract
AIM We identify and describe the existing evidence on academic nurse educator (ANE) perceived concerns regarding the use of generative artificial intelligence (GenAI) in nurse education. BACKGROUND Since its recent release, GenAI has abruptly impacted higher education. There is a call for ANEs to embrace GenAI. Some are ready, but others have concerns. METHOD The review followed the Joanna Briggs Institute methodology and used Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews; the search found 736 articles from eight databases. This study included articles, beginning November 2022, about ANEs and GenAI. Data were managed using Mendeley software, extracted by two reviewers, and reported using an extraction instrument. The team completed a thematic analysis. RESULTS This study included 29 articles that report on ethical concerns and subthemes: integrity, plagiarism/cheating, overreliance, and lack of humanization. CONCLUSION GenAI technologies will continue to evolve, suggesting a continual need for ANEs to learn, discover, and process its impact on nursing programs.
               
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