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Dergiler / Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2026 / Cilt: 34 Sayı: Uygarlığın Dönüşümü: Yapay Zekâ Özel Sayı

YAPAY ZEKA KABUL ÖLÇEĞİ KISA FORMU’NUN PSİKOMETRİK ÖZELLİKLERİNİN İNCELENMESİ

EXAMINING THE PSYCHOMETRIC PROPERTIES OF THE SHORT FORM ARTIFICIAL INTELLIGENCE ACCEPTANCE SCALE

Barzan Batuk(SİİRT ÜNİVERSİTESİ)0000-0002-1393-2814
Yahya Aktu(SIIRT UNIVERSITY)0000-0002-5540-7399
Nuri Türk(SIIRT UNIVERSITY)0000-0002-7059-9528
Sayfa
438–451
Yayın Tarihi
2025-07-20
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Araştırma bulguları ölçeğin madde ayırt edicilik indeks değerlerinin ve madde faktör yüklerinin iyi düzeyde olduğunu göstermiştir.Ölçeğin DFA sonuçları, model uyum değerlerinin mükemmel düzeyde olduğunu göstermiştir.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Eğitimde yapay zeka alanındaki araştırmaların merkezinde yapay zeka kabulü bulunmaktadır.
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Temel Bulgular & Veri:Kolayda örneklem yöntemi kullanılan çalışmanın örneklemini 205 üniversite öğrencisi oluşturmaktadır.
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Sonuç & Katkı:Araştırma bulguları ölçeğin madde ayırt edicilik indeks değerlerinin ve madde faktör yüklerinin iyi düzeyde olduğunu göstermiştir.Ölçeğin DFA sonuçları, model uyum değerlerinin mükemmel düzeyde olduğunu göstermiştir.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Yapay Zeka · Yapay Zeka Kabulü · Eğitimde Yapay Zeka

Özet

Eğitimde yapay zeka alanındaki araştırmaların merkezinde yapay zeka kabulü bulunmaktadır. Özellikle yüksek öğrenimde yapay zeka entagrasyonunun sağlanması, yapay zeka kabulüne bağlıdır. Bu çalışmada Yapay Zeka Kabul Ölçeği Kısa Formu’nu psikometrik özelliklerinin incelenerek Türkçe’ye kazandırılması amaçlanmıştır. Kolayda örneklem yöntemi kullanılan çalışmanın örneklemini 205 üniversite öğrencisi oluşturmaktadır. Çalışmanın veri toplama araçları arasında Yapay Zeka Kabul Ölçeği Kısa Formu ile Yapay Zeka Güncel Öğrenimi ölçekleri bulunmaktadır. Yapılan güvenirlik analizi sonuçlarına göre Yapay Zeka Kabul Ölçeği Kısa Formu’nun Cronbach α = 0.76 ve McDonald’s ω = 0.72 olduğu görülmüştür. Araştırma bulguları ölçeğin madde ayırt edicilik indeks değerlerinin ve madde faktör yüklerinin iyi düzeyde olduğunu göstermiştir.Ölçeğin DFA sonuçları, model uyum değerlerinin mükemmel düzeyde olduğunu göstermiştir. Bununla birlilkte, ölçeğin yakınsak ıraksak geçerliliğinin sağladığını kanıtlamıştır. Ölçüt geçerliliği ile ilgili yapılan analizlere göre, yapay zeka kabulü ile yapay zekanın güncel öğrenimi arasında anlamlı pozitif ilişkilere sahiptir. Araştırma sonuçları, Yapaz Zeka Kabul Ölçeği Kısa Formu’nun Türkiye örnekleminde geçerli ve güvenilir bir ölçme aracı olarak kullanılabileceğini ortaya koymuştur.

Abstract

Artificial intelligence (AI) acceptance is at the core of research in the field of artificial intelligence in education. Especially in higher education, ensuring the integration of AI depends on the level of acceptance among users. This study aims to adapt the Artificial Intelligence Acceptance Scale Short Form into Turkish and examine its psychometric properties. The sample of the study, in which convenience sampling method was used, consisted of 205 university students. The data collection tools of the study include Artificial Intelligence Acceptance Scale Short Form and Artificial Intelligence Current Learning scales. According to the results of the reliability analysis, Cronbach α = 0.76 and McDonald's ω = 0.72 for the Artificial Intelligence Acceptance Scale Short Form, indicating satisfactory internal consistency. The research findings showed that the item discrimination index values and item factor loadings of the scale were at acceptable levels. Confirmatory factor analysis (CFA) results revealed revealed excellent model fit indices. Moreover, the scale demonstrated both convergent and discriminant validity.. According to the analyses of criterion validity, there are significant positive relationships between AI acceptance and current AI learning. The results of the study revealed that the Turkish version of the Artificial Intelligence Acceptance Scale Short Form is a valid and reliable measurement tool for assessing AI acceptance among university students in Turkey.

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Bu Makaleye Atıf Yap

Batuk, B., Aktu, Y., Türk, N. (2025). YAPAY ZEKA KABUL ÖLÇEĞİ KISA FORMU’NUN PSİKOMETRİK ÖZELLİKLERİNİN İNCELENMESİ. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 34 Sayı: Uygarlığın Dönüşümü: Yapay Zekâ Özel Sayı, 438–451. https://doi.org/10.35379/cusosbil.1695975

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