Lisans Öğrencileri İçin Üretken Yapay Zekâ Araçlarının Akademik Amaçlı Kullanım Eğilimi Ölçeği: Geçerlik ve Güvenirlik Çalışması

Abstract

The purpose of this study is to develop a valid and reliable measurement instrument to assess university students' tendencies to use generative artificial intelligence tools for academic purposes. Within this framework, the "Scale of Undergraduate Students' Disposition to Use Generative AI tools for Academic Purposes" was developed. A five-point Likert-type scale was employed as the data collection instrument during the scale development process. The study sample comprised 863 undergraduate students enrolled at various universities in Türkiye. To establish the scale's construct validity, an exploratory factor analysis was initially conducted using data from 416 students. Subsequently, a confirmatory factor analysis was performed using data from a separate sample of 447 students to verify the factor structure identified in the first phase. The EFA results indicated that the scale comprises 20 items grouped under four factors: perceived usefulness, ease of use, ethical use, and social norms and environmental influence. The explained variance ratios and item factor loadings demonstrated high construct validity. The CFA results further confirmed the four-factor structure, yielding acceptable model fit indices. The scale's discriminative power was examined by comparing the upper and lower 27% groups, and all items showed statistically significant discriminative properties. In the internal consistency procedures conducted for the scale's reliability analyses, it was determined that while the Cronbach's Alpha and Omega coefficients were very high, the stability coefficient was moderate. Overall, the findings indicate that the developed scale is a valid and reliable instrument for measuring undergraduate students' tendencies to use generative artificial intelligence tools for academic purposes.

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