INVESTIGATION OF MEDICAL ARTIFICIAL INTELLIGENCE READINESS: THE CASE OF BITLIS EREN UNIVERSITY

Öz

This study aims to examine the levels of cognitive awareness, practical skills, foresight, and ethical sensitivity regarding artificial intelligence among university students enrolled in health sciences programs, and to evaluate the relationships between these dimensions and selected demographic and educational variables. The study is conducted with 409 undergraduate students enrolled in midwifery and nursing departments using a cross-sectional survey design. Data are collected through a structured questionnaire that includes demographic information and a multidimensional artificial intelligence awareness scale. Descriptive statistics, independent samples t-tests, one-way ANOVA, and Pearson correlation analyses are employed to analyze the data. The findings indicate that students’ overall levels of artificial intelligence awareness are above moderate across all dimensions. While most demographic variables do not demonstrate significant differences, the use of ChatGPT or similar artificial intelligence applications is significantly associated with higher levels of skills, foresight, and ethical awareness. Grade level and place of upbringing emerge as significant predictors of artificial intelligence awareness, whereas income level and daily internet usage duration are not significant predictors. Positive and moderate-to-strong correlations among the scale dimensions suggest a coherent and multidimensional structure of artificial intelligence awareness. The results indicate that artificial intelligence awareness among health sciences students is shaped primarily by experiential and contextual factors rather than by basic demographic characteristics. Integrating artificial intelligence education into health sciences curricula through a holistic approach that emphasizes ethical considerations, practical applications, and critical foresight may contribute to the development of competent and responsible future healthcare professionals.

Anahtar Kelimeler

• Artificial Intelligence
• Medical AI
• AI Training
• Nursing
• Midwifery

TIBBİ YAPAY ZEKÂ HAZIRBULUNUŞLUĞUNUN İNCELENMESİ: BİTLİS EREN ÜNİVERSİTESİ ÖRNEĞİ

Öz

Bu çalışma, sağlık bilimleri alanında öğrenim gören üniversite öğrencilerinin yapay zekâya ilişkin bilişsel farkındalık, pratik beceriler, öngörü ve etik duyarlılık düzeylerini incelemeyi ve bu boyutlar ile seçilen demografik ve eğitimsel değişkenler arasındaki ilişkileri değerlendirmeyi amaçlamıştır. Çalışma, kesitsel bir anket tasarımı kullanılarak ebelik ve hemşirelik bölümlerinde kayıtlı 409 lisans öğrencisiyle gerçekleştirilmiştir. Veriler, demografik bilgiler ve çok boyutlu bir yapay zekâ farkındalık ölçeği içeren yapılandırılmış bir anket kullanılarak toplanmıştır. Verilerin analizinde tanımlayıcı istatistikler, bağımsız örneklem t-testleri, tek yönlü ANOVA ve Pearson korelasyon analizleri kullanılmıştır. Bulgular, öğrencilerin genel yapay zekâ farkındalık düzeylerinin tüm boyutlarda orta düzeyin üzerinde olduğunu ortaya koymuştur. Çoğu demografik değişken anlamlı farklılıklar göstermezken, ChatGPT veya benzeri yapay zekâ uygulamalarının kullanımı, beceri, öngörü ve etik farkındalık düzeylerinde anlamlı derecede daha yüksek seviyelerle ilişkilendirilmiştir. Sınıf düzeyi ve yetişme yeri, yapay zekâ farkındalığının önemli belirleyicileri olarak bulunurken, gelir düzeyi ve günlük internet kullanım süresi istatistiksel olarak anlamlı bulunmamıştır. Ölçek boyutları arasındaki pozitif ve orta-güçlü korelasyonlar, yapay zekâ farkındalığının tutarlı ve çok boyutlu bir yapısını göstermiştir. Sonuçlar, sağlık bilimleri öğrencilerinde yapay zekâ farkındalığının temel demografik özelliklerden ziyade öncelikle deneyimsel ve bağlamsal faktörler tarafından şekillendirildiğini göstermektedir. Etik hususları, pratik uygulamaları ve eleştirel öngörüyü vurgulayan bütüncül bir yaklaşımla yapay zekâ eğitiminin sağlık bilimleri müfredatına entegre edilmesi, yetkin ve sorumlu geleceğin sağlık profesyonellerinin gelişimine katkıda bulunabilir.

Anahtar Kelimeler

• Yapay Zekâ
• Tıbbi Yapay Zekâ
• Yapay Zekâ Eğitimi
• Hemşirelik
• Ebelik

Etik Beyan

Bitlis Eren Üniversitesi Sosyal ve Beşeri Bilimler Araştırmaları Etik Kurulunun 2025/06-29 ve E.7475 sayılı kararıyla bu çalışma için etik kurul onayı alınmıştır.

Kaynakça

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