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Nurse Educators' Perceptions and Experiences of Generative Artificial Intelligence: A Cross-Sectional Study Analysis.

Publication ,  Journal Article
Hong, M; Shin, H; Kim, SS; De Gagne, JC
Published in: Computers, informatics, nursing : CIN
July 2025

As technology continues to transform education, the adoption of generative artificial intelligence is increasing in nursing education. However, concerns regarding the accuracy of AI-generated content and ethical issues exist. This study explores the perceptions/experiences of nurse educators in South Korea regarding the use of generative artificial intelligence. Using a cross-sectional survey, data were gathered from 120 nurse educators, and descriptive statistical analysis was applied to the data. Significantly 38.9% of participants reported no prior engagement with generative artificial intelligence. Meanwhile, 32.5% identified ChatGPT as their preferred source. The perceived usefulness of generative artificial intelligence was evaluated on average as 3.11 (SD = 0.31) on a 4-point scale, suggesting a generally favorable view of its potential to diversify learning resources, enhance student learning experiences, and improve educational quality. Despite these positive perceptions, the average engagement score with generative artificial intelligence was 2.76 (SD = 0.40), reflecting moderate actual use. This study contributes to the literature on generative artificial intelligence integration in education, revealing an overall positive attitude among nurse educators. It underscores the need for increased application and familiarity with such technologies to maximize teaching strategy benefits, student outcomes, and the efficacy of nursing education.

Duke Scholars

Published In

Computers, informatics, nursing : CIN

DOI

EISSN

1538-9774

ISSN

1538-2931

Publication Date

July 2025

Volume

43

Issue

7

Start / End Page

e01273

Related Subject Headings

  • Surveys and Questionnaires
  • Republic of Korea
  • Perception
  • Nursing
  • Middle Aged
  • Male
  • Humans
  • Generative Artificial Intelligence
  • Female
  • Faculty, Nursing
 

Citation

APA
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ICMJE
MLA
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Hong, M., Shin, H., Kim, S. S., & De Gagne, J. C. (2025). Nurse Educators' Perceptions and Experiences of Generative Artificial Intelligence: A Cross-Sectional Study Analysis. Computers, Informatics, Nursing : CIN, 43(7), e01273. https://doi.org/10.1097/cin.0000000000001273
Hong, Minjoo, Hyewon Shin, Sang Suk Kim, and Jennie C. De Gagne. “Nurse Educators' Perceptions and Experiences of Generative Artificial Intelligence: A Cross-Sectional Study Analysis.Computers, Informatics, Nursing : CIN 43, no. 7 (July 2025): e01273. https://doi.org/10.1097/cin.0000000000001273.
Hong M, Shin H, Kim SS, De Gagne JC. Nurse Educators' Perceptions and Experiences of Generative Artificial Intelligence: A Cross-Sectional Study Analysis. Computers, informatics, nursing : CIN. 2025 Jul;43(7):e01273.
Hong, Minjoo, et al. “Nurse Educators' Perceptions and Experiences of Generative Artificial Intelligence: A Cross-Sectional Study Analysis.Computers, Informatics, Nursing : CIN, vol. 43, no. 7, July 2025, p. e01273. Epmc, doi:10.1097/cin.0000000000001273.
Hong M, Shin H, Kim SS, De Gagne JC. Nurse Educators' Perceptions and Experiences of Generative Artificial Intelligence: A Cross-Sectional Study Analysis. Computers, informatics, nursing : CIN. 2025 Jul;43(7):e01273.

Published In

Computers, informatics, nursing : CIN

DOI

EISSN

1538-9774

ISSN

1538-2931

Publication Date

July 2025

Volume

43

Issue

7

Start / End Page

e01273

Related Subject Headings

  • Surveys and Questionnaires
  • Republic of Korea
  • Perception
  • Nursing
  • Middle Aged
  • Male
  • Humans
  • Generative Artificial Intelligence
  • Female
  • Faculty, Nursing