SAĞLIK İLE İLGİLİ BÖLÜMLERDE OKUYAN ÜNİVERSİTE ÖĞRENCİLERİNİN YAPAY ZEKÂ OKURYAZARLIĞI

Abstract

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.

Keywords

• Yapay zekâ
• önlisans öğrencileri
• sağlık bölümleri
• üniversite öğrencileri

ARTIFICIAL INTELLIGENCE LITERACY OF UNIVERSITY STUDENTS ENROLLED IN HEALTH-RELATED DEPARTMENTS

Abstract

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.

Keywords

• artificial intelligence
• associate degree students
• health departments

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