Hemşirelik Öğrencilerinde Yapay Zeka Hazırbulunuşluk ve Yapay Zeka Kaygı Düzeyleri Arasındaki İlişkinin İncelenmesi

Yıl 2026, Cilt: 19 Sayı: 1, 157 - 169, 15.01.2026

Suna Uysal Yalçın , Resul Solhan

https://doi.org/10.46483/jnef.1532491

Öz

Giriş: Hızla gelişen teknolojiler sayesinde sağlık alanında yapay zeka kullanımında hızla bir artış oldu. Yapay zekaya uyum sağlayacak sağlık profesyonellerinin eğitimi önem kazandı.
Amaç: Hemşirelik öğrencilerinde yapay zeka hazırbulunuşluk ve yapay zeka kaygı düzeyleri arasındaki ilişkinin incelenmesi amaçlanmıştır.
Yöntem: Bu çalışma tanımlayıcı-ilişki arayıcı nitelikte olup, veriler Mayıs-Haziran 2024 tarihleri arasında yüz yüze uygulanan anket formu ile 176 hemşirelik öğrencisinden elde edildi. Çalışmada “Demografik Veri Toplama Formu”, “Yapay Zeka Kaygı Ölçeği” ve “Tıbbi Yapay Zeka Hazırbulunuşluk Ölçeği” kullanıldı. Verilerin analizinde, frekans, ortalama, yüzde analizleri, doğrusal regresyon ve pearson korelasyon, bağımsız gruplar t-testi, tek yönlü varyans analizi (Anova) ve post hoc (Tukey, LSD) analizleri kullanıldı.
Bulgular: Katılımcıların %69,3’ü kadın, %30,7’si erkek olup, kadın öğrencilerin yapay zeka kaygı puanı (45,336 ± 13,747) erkek öğrencilere (38,019 ± 16,203) kıyasla daha yüksek bulunmuş olup, bu fark istatistiksel olarak anlamlıdır (t = 3,079, p = ,002). Regresyon analizi sonuçlarına göre, tıbbi yapay zeka hazırbulunuşluğu, yapay zeka kaygısını anlamlı ve negatif yönde etkilemektedir (β = -,150, p < ,05). Bu bulgu, tıbbi yapay zeka hazırbulunuşluğu arttıkça, yapay zeka kaygısının azaldığını göstermektedir.
Sonuç: Bu çalışmada hemşirelik öğrencilerinin yapay zeka kaygı ve yapay zeka hazırbulunuşluk düzeyleri orta düzeyde bulunmuştur. Hemşirelik lisans eğitimi müfredatı güncellenmeli ve müfredata sağlıkta teknoloji/yapay zekâ gibi dersler/konular eklenmeli; öğrenciler yapay zekânın kullanımı, olumlu yönleri ve avantajları hakkında bilgilendirilmeli ve bu konudaki endişeleri giderilmelidir.

Anahtar Kelimeler

yapay zeka , Yapay zeka hazırbulunuşluk , hemşirelik

Etik Beyan

Etik bir sorun bulunmamaktadır.

Destekleyen Kurum

Tubitak 2209-A

Proje Numarası

1919B012336897

Investigation of the Relationship Between Artificial Intelligence Readiness and Artificial Intelligence Anxiety Levels in Nursing Students

Öz

Objective: Artificial intelligence and robot technologies in the field of health and nursing practices are a new concept and it is known to have a high potential. For this reason, it is important for nursing students to be prepared for artificial intelligence and not to have problems in their education. In our study, it was aimed to examine the relationship between artificial intelligence readiness and artificial intelligence anxiety levels in nursing students.
Methods: This study was descriptive-correlational in nature and was carried out with 176 students between May-June 2024 with a face-to-face questionnaire. “Demographic data Collection Form”, “Artificial Intelligence (AI) Anxiety Scale” and “Medical Artificial Intelligence (MAI) Readiness Scale” were used in the study. In the analysis of data, frequency, mean, percentage analyses, linear regression and Pearson correlation, independent groups t-test, one-way analysis of variance (ANOVA) and post hoc (Tukey, LSD) analyses were used.
Results: 69.3% of participants were female, 30.7% are male, and female students' artificial intelligence anxiety scores (45.336 ± 13.747) were found to be higher than those of male students (38.019 ± 16.203), and this difference is statistically significant (t = 3.079, p = .002). This difference was statistically significant (t = 3.079, p = .002). According to the regression analysis results, medical AI readiness significantly and negatively affects AI anxiety (β = -.150, p < .05). This finding indicates that as MAI readiness increases, AI anxiety decreases.
Conclusion: In our study, artificial intelligence anxiety and artificial intelligence readiness levels of nursing students were found to be moderate. Nursing undergraduate education curriculum should be updated and courses such as technology/artificial intelligence in health should be added to the curriculum; students should be informed about the use, positive aspects and advantages of artificial intelligence and their concerns about this issue should be eliminated.

Anahtar Kelimeler

artifical intelligence readiness , artifical intelligence anxiety , nursing

Proje Numarası

1919B012336897

Kaynakça

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