Exploring Nursing Students' Attitudes and Readiness for Artificial fi cial Intelligence: A Cross-Sectional Study
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Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Background: 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.
Açıklama
Anahtar Kelimeler
Artificial intelligence, Attitude, Nursing education, Nursing students, Readiness
Kaynak
Teaching and Learning in Nursing
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
19
Sayı
4
