Exploring Nursing Students' Attitudes and Readiness for Artificial fi cial Intelligence: A Cross-Sectional Study

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dc.authoridErgin, Eda/0000-0002-3732-5402
dc.authoridYalcinkaya, Turgay/0000-0002-0115-295X
dc.contributor.authorYalcinkaya, Turgay
dc.contributor.authorErgin, Eda
dc.contributor.authorYucel, Sebnem Cinar
dc.date.accessioned2025-03-23T19:37:45Z
dc.date.available2025-03-23T19:37:45Z
dc.date.issued2024
dc.departmentSinop Üniversitesi
dc.description.abstractBackground: Understanding nursing students' attitudes towards and readiness for artificial intelligence (AI) is crucial for the effective integration of AI into nursing education and practice. AI has the potential to enhance clinical decision-making and personalize patient care. Aim: This study aimed to determine nursing students' attitudes towards and readiness for AI. Methods: This was a cross-sectional descriptive study conducted at a nursing faculty in the west of Turkey and included 291 nursing students. Data were collected using the Individual Information Form, the General Attitudes towards Artificial Intelligence Scale (GAAIS), and the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS). Results: The mean scores for Positive GAAIS, Negative GAAIS, and MAIRS-MS were 3.86 +/- 0.62, 3.23 +/- 0.82, and 76.93 +/- 13.63, respectively. Fourth-year students scored significantly higher on the MAIRS-MS compared to second-year students (F = 3.750, p = 0.011). A positive correlation was found between MAIRS-MS and GAAIS scores (r = 0.330, p < 0.01). Conclusions: The findings are anticipated to guide nursing faculties and academicians in incorporating AI into the curriculum. (c) 2024 Organization for Associate Degree Nursing. Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
dc.identifier.doi10.1016/j.teln.2024.07.008
dc.identifier.endpagee728
dc.identifier.issn1557-3087
dc.identifier.issn1557-2013
dc.identifier.issue4
dc.identifier.scopusqualityQ2
dc.identifier.startpagee722
dc.identifier.urihttps://doi.org/10.1016/j.teln.2024.07.008
dc.identifier.urihttps://hdl.handle.net/11486/6005
dc.identifier.volume19
dc.identifier.wosWOS:001321551600001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofTeaching and Learning in Nursing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectArtificial intelligence
dc.subjectAttitude
dc.subjectNursing education
dc.subjectNursing students
dc.subjectReadiness
dc.titleExploring Nursing Students' Attitudes and Readiness for Artificial fi cial Intelligence: A Cross-Sectional Study
dc.typeArticle

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