Generative AI among Latin American university students: Usefulness, trust, creativity, and emotions in public and private institutions
Abstract
Generative Artificial Intelligence (GenAI) has become an emerging resource in higher education, with the potential both to innovate learning processes and to deepen pre-existing inequalities. The aim of this study was to comparatively analyze the perceptions of students from public and private Latin American universities regarding GenAI, considering cognitive dimensions (perceived usefulness, ease of use), attitudinal dimensions (attitude, trust, creativity), and socio-emotional dimensions (enjoyment, positive and negative emotions). A quantitative, cross-sectional, and comparative design was applied, with a sample of 274 students (51.8% from public institutions and 48.2% from private institutions), using a validated questionnaire with high levels of reliability (α > 0.80). Data were analyzed through MANOVA and univariate ANOVAs. The results show that students from private universities report higher perceptions of perceived usefulness, ease of use, and attitude towards GenAI, while emotional experiences (both positive and negative) remain homogeneous across both types of institutions. These findings partially confirm that structural inequalities influence technological adoption, albeit in different ways depending on the construct analyzed. The study concludes that public universities face limitations that may hinder an equitable integration of GenAI, raising risks of digital exclusion. At the educational policy level, it is recommended to strengthen technological infrastructure, promote digital literacy and teacher training programs, and consolidate collaborative networks such as NODESS. Recognizing GenAI as a strategic public good is essential to ensure that its incorporation into higher education contributes to equity and the Sustainable Development Goals.
Copyright (c) 2025 Mario Alberto Salazar-Altamirano, Orlando Josué Martínez-Arvizu, Rafael Ravina-Ripoll, Víctor Mercader

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