Exploring Nursing Students Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study
Yazarlar (3)
Dr. Öğr. Üyesi Turgay YALÇINKAYA Sinop Üniversitesi, Türkiye
Eda Ergin İzmir Bakırçay Üniversitesi, Türkiye
Prof. Dr. Şebnem Çınar Yücel Ege Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (ESCI dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Teaching and Learning in Nursing | ||
| Dergi ISSN | 1557-3087 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | ESCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 10-2024 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-10-2024 |
| Cilt / Sayı / Sayfa | 19 / 4 / – | DOI | 10.1016/j.teln.2024.07.008 |
| Makale Linki | https://doi.org/10.1016/j.teln.2024.07.008 | ||
| UAK Araştırma Alanları |
Hemşirelik Esasları
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| Özet |
| BackgroundUnderstanding 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.AimThis study aimed to determine nursing students' attitudes towards and readiness for AI.MethodsThis 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).ResultsThe 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 … |
| Anahtar Kelimeler |
| Artificial intelligence | Attitude | Nursing education | Nursing students | Readiness |
Science Direct
Exploring Nursing Students Attitudes and Readiness for Artificial Intelligence: A Cross-Sectional Study
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 40 |
| Scopus | 41 |
| Google Scholar | 62 |