TY  - JOUR
T1  - SAĞLIK İLE İLGİLİ BÖLÜMLERDE OKUYAN ÜNİVERSİTE ÖĞRENCİLERİNİN YAPAY ZEKÂ OKURYAZARLIĞI
TT  - ARTIFICIAL INTELLIGENCE LITERACY OF UNIVERSITY STUDENTS ENROLLED IN HEALTH-RELATED DEPARTMENTS
AU  - Topalı, Hasret
AU  - Kazak Saltı, Aysun
AU  - Türkmen, Osman Oğulcan
PY  - 2025
DA  - July
Y2  - 2025
DO  - 10.35379/cusosbil.1625358
JF  - Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
PB  - Cukurova University
WT  - DergiPark
SN  - 1304-8899
SP  - 51
EP  - 64
VL  - 34
IS  - Uygarlığın Dönüşümü: Yapay Zekâ
LA  - tr
AB  - Bu araştırma temel olarak önlisans sağlık programları öğrencilerinin Yapay Zeka (YZ) okuryazarlık düzeyini belirlemek için yapılmıştır. Araştırma tanımlayıcı tipte olup, araştırmanın verileri Kasım-Aralık 2024 tarihleri arasında Türkiye’de bulunan iki farklı devlet üniversitedeki 1446 sağlık hizmetleri meslek yüksekokulu sağlık bölümleri birinci ve ikinci sınıf öğrencileri ile internet ortamı aracılığıyla gerçekleştirilmiştir. Araştırmada kapsamında analiz edilen veri kümeleri için toplama araçları olarak “Birey Tanıtım Formu” ve “Yapay Zekâ Okuryazarlık Ölçeği” kullanılmıştır. Öğrencilerin “Yapay Zekâ Okuryazarlık Ölçeği (YZOÖ)” bağlamında aldıkları puan ortalamasının beklenen ortalama puanın üzerinde olduğu görülmüştür. 20 yaş ve altı ile 21-30 yaş arasındaki öğrenciler, 31 yaş ve üstü öğrencilere göre daha yüksek toplam puanlar alırken; ilk ve acil yardım programındaki öğrenciler de yaşlı bakımı programındaki öğrencilere göre daha yüksek puanlar almıştır. İnterneti en çok karma kullananlar, sağlık bakanlığı/hastane sitelerini ziyaret edenlere göre daha yüksek toplam puanlar elde etmiştir. Teknolojik cihaz kullanımı becerileri açısından ise çok iyi ve iyi seviyedeki öğrenciler, diğer seviyelere göre daha yüksek toplam puanlar almışlardır. Araştırmadan elde edilen sonuçlar doğrultusunda, YZ teknolojilerinin daha iyi anlaşılabilmesi için eğitimciler tarafından müfredata alınarak öğretilmesinin YZ okuryazarlık düzeyine katkı sunacağı düşünülmektedir.
KW  - Yapay zekâ
KW  - önlisans öğrencileri
KW  - sağlık bölümleri
KW  - üniversite öğrencileri
N2  - This study was primarily conducted to determine the level of Artificial Intelligence (AI) literacy among associate degree students enrolled in health programs. Designed as a descriptive study, data were collected online between November and December 2024 from 1,446 first- and second-year students in health-related departments at two public universities in Turkey The “Personal Information Form” and ‘Artificial Intelligence Literacy Scale’ were used as collection tools for the data sets analyzed in the study. It was observed that the students' average scores on the "Artificial Intelligence Literacy Scale (AILS)" were above the expected mean score. Students aged 20 and under, as well as those aged 21-30, scored higher total points compared to those aged 31 and above. Additionally, students in the emergency and first aid program scored higher than those in the elderly care program. Those who use the internet for a variety of purposes scored higher total points compared to those who primarily visit Ministry of Health/hospital websites. In terms of technological device usage skills, students who rated their skills as “very good” or “good” scored higher than those with lower self-assessed skill levels. Based on the findings, it is suggested that incorporating AI-related topics into the curriculum by educators could contribute to improving AI literacy levels among students.
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CR  - Gavriilidou, Z. (2024). AI literacy among university students μajoring in ηumanities in Greece and Cyprus. Journal of Language and Culture in Education, 1(1), 104–113. https://doi.org/10.5281/ZENODO.12817808
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CR  - Lai, M. C., Brian, M., ve Mamzer, M. F. (2020). Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France. Journal of translational medicine, 18, 1-13. https://doi.org/10.1186/s12967-019-02204-y
CR  - Lérias, E., Guerra, C., ve Ferreira, P. (2024). Literacy in artificial ıntelligence as a challenge for teaching in higher education: A case study at Portalegre Polytechnic University. Information (Switzerland), 15(4). https://doi.org/10.3390/info15040205
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CR  - Polatgil, M., ve Güler, A. (2023). Yapay zekâ okuryazarlığı ölçeğinin Türkçe’ye uyarlanması. Sosyal Bilimlerde Nicel Araştırmalar Dergisi, 3(2), 99–114.
CR  - Qadri, H. M., Bashir, M., Khan, M., Amir, A., Khan, A. Y. Y., Safdar, Z., ... ve Bashir, A. (2024). Knowledge, Awareness and Practice of Artificial Intelligence and Types of Realities Among Healthcare Professionals: A Nationwide Survey From Pakistan. Cureus, 16(4). https://doi.org/10.7759/cureus.57695
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Zhu, J., Xie, X., Pu, L., Zou, L., Yuan, S., Wei, L., ve Zhang, F. (2024). Relationships between professional identity, motivation, and innovative ability among nursing intern students: A cross-sectional study. Heliyon, 10(7), e28515. https://doi.org/10.1016/J.HELIYON.2024.E28515/ATTACHMENT/21D640D2-7BFB-4323-A0D5-3D242ED72352/MMC3.DOCX
UR  - https://doi.org/10.35379/cusosbil.1625358
L1  - https://dergipark.org.tr/en/download/article-file/4545080
ER  -