Examining the relationship between nursing students’ readiness, literacy and attitudes toward medical artificial intelligence

Basit Öğe Kaydı
dc.contributor.authorBoztepe, Handan
dc.contributor.authorAkdeniz Kudubeş, Aslı
dc.contributor.authorSemerci Şahin, Remziye
dc.contributor.authorDurmuş Sarıkahya, Selma
dc.contributor.authorÇınar Özbay, Sevil
dc.date.accessioned2025-10-02T10:58:11Z
dc.date.available2025-10-02T10:58:11Z
dc.date.issued2025
dc.departmentAÇÜ, Sağlık Bilimleri Fakültesi, Hemşirelik Bölümü
dc.departmentAÇÜ, Sağlık Bilimleri Fakültesi, Acil Yardım ve Afet Yönetimi Bölümü
dc.description.abstractAim: This study examined the relationships among nursing students’ readiness for medical AI, AI literacy and their attitudes toward AI within digitalization in healthcare. Background: The rapid integration of AI into healthcare highlights the need to assess future professionals' preparedness. Nursing students’ readiness, literacy and attitudes toward medical AI are key to its effective and ethical use. Design: This study is a cross-sectional, descriptive and correlational research conducted to assess nursing students’ readiness for medical AI, AI literacy and their attitudes toward AI in Türkiye. Methods: Using an online survey, this cross-sectional, descriptive and correlational study was conducted with 438 nursing students from various universities in Türkiye. Data were collected using the Medical Artificial Intelligence Readiness Scale (MAIRS), the Artificial Intelligence Literacy Scale (AILS) and the General Attitudes Toward Artificial Intelligence Scale (GAAIS). Results: The results revealed that student nurses reported high familiarity with AI (88.6 %). MAIRS was significantly correlated with AILS (r = .50), Positive GAAIS (r = .53) and inversely with Negative GAAIS (r = –.17). AILS subdimensions Awareness, Usage, Evaluation and Ethics significantly predicted MAIRS (R²=.25, p < .001). Furthermore, Usage and Evaluation significantly predicted Positive GAAIS (R²=.24, p < .001), while Usage, Evaluation and Ethics significantly predicted Negative GAAIS (R² =.06, p < .001). Conclusion: The findings underscore the importance of enhancing nursing students’ AI literacy and ethical competence to foster readiness for medical AI. Education programs should incorporate targeted content to improve students’ abilities to evaluate and ethically apply AI in healthcare settings.
dc.identifier.doi10.1016/j.nepr.2025.104568
dc.identifier.issn14715953
dc.identifier.scopus2-s2.0-105016994833
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://hdl.handle.net/11494/5960
dc.identifier.volume88
dc.indekslendigikaynakScopus
dc.institutionauthorDurmuş Sarıkahya, Selma
dc.institutionauthorÇınar Özbay, Sevil
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofNurse Education in Practice
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectAttitudes
dc.subjectLiteracy
dc.subjectMedical artificial intelligence
dc.subjectNursing
dc.subjectReadiness
dc.titleExamining the relationship between nursing students’ readiness, literacy and attitudes toward medical artificial intelligence
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
5960.pdf
Boyut:
638.71 KB
Biçim:
Adobe Portable Document Format
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
license.txt
Boyut:
1.17 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu
Acil Yardım ve Afet Yönetimi Bölümü Yayın Koleksiyonu
Hemşirelik Bölümü Yayın Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu