Exploring the Educational Acceptance and Use of Artificial Intelligence Tools: Perceptions Among Portuguese University Students

The rapid advancement of artificial intelligence (AI) technologies has created both opportunities and challenges in higher education. AI tools are increasingly regarded as potentially transformative, yet also contested, resources for enhancing teaching and learning. This study investigates the behavioral intentions and use behavior of Generative AI (GenAI) tools among Portuguese university students by applying the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Seven predictors (performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, habit, and price/value) were included to develop a model explaining the behavioral intention and use behavior of AI tools. Data were collected from 323 Portuguese university students and analyzed using partial least squares structural equation modeling. The results show that only hedonic motivation and habit significantly influence behavioral intention, with habit emerging as the strongest predictor. Behavioral intention, in turn, positively affects use behavior. Moreover, gender also moderates the relationship between habit and behavioral intention. These findings deepen our understanding of GenAI tools’ acceptance in higher education and underscore the central roles of enjoyment and routine in adoption processes. They further provide insights to support institutional strategies, inform curriculum design, and support the ethical integration of GenAI technologies in academic contexts.

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Publication Details

Journal
Trends in Higher Education
Published
2025-12-11
DOI
https://doi.org/10.3390/higheredu4040077
Primary Topic
AI in Service Interactions
Type
article
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article

Exploring the Educational Acceptance and Use of Artificial Intelligence Tools: Perceptions Among Portuguese University Students

Marisa Correia, Teresa Ribeirinha, Raquel Santos
Trends in Higher Education
AI in Service Interactions
article

Exploring the Educational Acceptance and Use of Artificial Intelligence Tools: Perceptions Among Portuguese University Students

Marisa Correia, Teresa Ribeirinha, Raquel Santos
article en

Abstract

The rapid advancement of artificial intelligence (AI) technologies has created both opportunities and challenges in higher education. AI tools are increasingly regarded as potentially transformative, yet also contested, resources for enhancing teaching and learning. This study investigates the behavioral intentions and use behavior of Generative AI (GenAI) tools among Portuguese university students by applying the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Seven predictors (performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, habit, and price/value) were included to develop a model explaining the behavioral intention and use behavior of AI tools. Data were collected from 323 Portuguese university students and analyzed using partial least squares structural equation modeling. The results show that only hedonic motivation and habit significantly influence behavioral intention, with habit emerging as the strongest predictor. Behavioral intention, in turn, positively affects use behavior. Moreover, gender also moderates the relationship between habit and behavioral intention. These findings deepen our understanding of GenAI tools’ acceptance in higher education and underscore the central roles of enjoyment and routine in adoption processes. They further provide insights to support institutional strategies, inform curriculum design, and support the ethical integration of GenAI technologies in academic contexts.

Trends in Higher EducationVol. 4(4)
Life Quality Research Centre (PT), Instituto Politécnico de Santarém (PT)
Openalex Percentile: Top 79%
AI in Service Interactions
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Exploring the Educational Acceptance and Use of Artificial Intelligence Tools: Perceptions Among Portuguese University Students — Marisa Correia, Teresa Ribeirinha, et al. · Trends in Higher Education (2025) | TGRS Research Map | TGRS