This study examines the relationships among artificial intelligence competence, computational thinking, and virtual risk perception within digital learning environments, focusing on the mediating and moderating role of digital well-being. The research was conducted with a cross-cultural sample of 456 university students from Türkiye, Malta, Ghana, Canada, and Brazil. Data were collected using validated measurement instruments and analyzed through regression-based mediation and moderation analyses using Jamovi software. The findings revealed that both artificial intelligence competence and computational thinking significantly and positively predict digital well-being. In addition, all three variables, artificial intelligence competence, computational thinking, and digital well-being, were found to significantly predict virtual risk perception. Mediation analyses demonstrated that digital well-being serves as a significant mediator in the relationship between the independent variables and virtual risk perception. Furthermore, moderation analyses demonstrated that digital well-being significantly alters the strength of these relationships, suggesting that individuals with higher digital well-being may perceive virtual risks differently compared to those with lower digital well-being. Cross-cultural comparisons also revealed significant differences across countries. Overall, the findings highlight digital well-being as a central construct that reflects individual digital experiences and shapes how technological competencies influence risk perception. The study provides important implications for the design of AI-supported learning environments and the development of global educational policies, particularly in how these environments can be tailored to enhance digital well-being and address the varying technological competencies and risk perceptions across different cultures.
Arslankara et al. (2026) studied this question.
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