Determination of Artificial Intelligence Anxiety Status of Nursing Students: Cross-Sectional-Descriptive Study

Authors : Pınar Ongün, Beytullah Gül, İbrahim Enes Muslu, Mert Mete Meşe, Sibel Ergün

Pages : 304-312

Doi:10.46413/boneyusbad.1455856

View : 93 | Download : 68

Publication Date : 2024-08-22

Article Type : Research Paper

Abstract :Aim: The study aimed to determine the anxiety of nursing students about the emergence and use of artificial intelligence products. Material and Method: The data of this descriptive and cross-sectional study were collected between 02.01.2023 and 15.04.2023. The sample of the research consisted of 243 students. The data collection tool included an introductory information form and the Artificial Intelligence Anxiety Scale. T-test, and one-way ANOVA test were used to analyze the data. Results: 64.6% of the students had heard of artificial intelligence-supported devices used in healthcare, 54.7% thought that artificial intelligence applications were useful in ensuring patient safety, and 54.7% thought that the system would reduce the risk of making medical errors. The mean total score of the scale was 46.25 ± 9.66. There was a statistically significant relationship between thinking that artificial intelligence should be a course in education and thinking that artificial intelligence would be indispensable in surgical applications and the artificial intelligence anxiety scale (p<0.05). Conclusion: Students\' anxiety about artificial intelligence is at a moderate level. It was found that most students thought they should have courses on artificial intelligence applications and that artificial intelligence was useful in ensuring patient safety.
Keywords : Yapay Zeka, Anksiyete, Hemşirelik öğrencileri, Sağlık Bakımı

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