Development and Psychometric Evaluation of the Problematic Generative Artificial Intelligence Use Scale Among Turkish University Students

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Authors: Metin Besalti, Aslı Akdeniz Kudubeş, İsmet Emir Kudubeş, Özkan Özbay, Selma Durmuş Sarıkahya, Sevil Çınar Özbay
Cited by: 4
References: 40

Abstract

The present study reports the development and validation of the Problematic Generative Artificial Intelligence Use Scale (PGAIUS) using data collected from undergraduate students enrolled in public universities in Türkiye, where chatbot-based GenAI systems constitute the predominant form of use. This methodological study employed a cross-sectional, descriptive, and correlational design and was conducted with 1,000 university students. Construct validity was evaluated using exploratory factor analysis (n = 500) and confirmatory factor analysis (n = 500), while temporal stability was assessed through test–retest reliability with a separate subsample (n = 153). The findings demonstrated that the PGAIUS is a valid and reliable instrument for assessing problematic GenAI use behaviors among university students. By providing a psychometrically robust and contextually grounded measurement tool, this study contributes to the literature on digital addiction and the psychosocial impacts of emerging educational technologies.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education AI in Service Interactions Emotional Intelligence and Performance

Publication details

Journal / source
International Journal of Human-Computer Interaction
Publisher
Informa UK Limited
Pages
1–18
Publication date
20 April 2026
Language
EN