Abstract:

Generative AI has become increasingly widespread across various domains of life, and education is no exception. Although several studies examine teachers’ perceptions of AI, far less is known about students’ attitudes toward this developing technology. The aim of this research is to translate and adapt into Hungarian the “Generative Artificial Intelligence - Attitude Scale for Students” instrument developed by Agostino Marengo, Fatma Gizema Karaoglan-Yilmaz, Ramazan Yilmaz and Mahmet Ceylan in 2025. A forward–backward translation procedure was applied to ensure semantic and conceptual equivalence with the original instrument. The preliminary Hungarian version was then piloted with 15 master’s-level students, and their feedback informed subsequent adaptations to improve clarity. The revised scale was administered to 200 university students. Exploratory factor analysis was carried out to compare the factor structure emerging in the Hungarian university student sample with the structure reported for the original scale.

The translated and adapted “Generative Artificial Intelligence - Attitude Scale for Students” scale provides a reliable instrument for measuring the students’ attitude and opinion on AI tools into the learning process. Educators can use this data to verify the effectiveness of this new educational method to ensure the responsible and effective integration of AI in education.

Keywords:

Artificial intelligence in education, student attitude, human-computer interaction, educational technology.