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Titre : | First-year nursing students' attitudes towards artificial intelligence: Cross-sectional multi-center study (2023) |
Auteurs : | Anita Luki? ; Nenad Kudeli? ; Vesna Anti?evi? ; Elvira Lazi?-Mosler ; Vicko Glun?i? ; Darko Hren ; Ivan K. Luki? |
Type de document : | Article |
Dans : | Nurse Education in Practice (Vol. 71, August 2023) |
Article en page(s) : | 103735 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Connaissances, attitudes et pratiques en santé ; Elève infirmier ; Intelligence artificielle (IA) ; Soins infirmiers |
Mots-clés: | Étudiant infirmier de premier cycle |
Résumé : | Aim To assess the attitudes of nursing students toward artificial intelligence. Background Possible applications of artificial intelligence-powered systems in nursing cover all aspects of nursing care, from patient care to risk management. Although the final acceptance of artificial intelligence in practice will depend on positive 'nurses' attitudes toward artificial intelligence, those attitudes have gained little attention so far. Design A cross-sectional multicenter study. Methods The study was performed at nursing schools of four Croatian universities, surveying a total of 336 first-year nursing students (response rate 69.7%) enrolled in 2021. A validated instrument, the General Attitudes towards Artificial Intelligence Scale, consisting of 20 Likert-type items, was chosen for the study. Where applicable, the items were contextualized for nursing. Four sub-scales were identified based on the outcomes of the factor analysis. Results The average attitude score was (mean + standard deviation) 64.5 + 11.7, out of a maximum of 100, which was significantly higher than the neutral score of 60.0 (p |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S147159532300197X |