Adoption of Generative AI in Portuguese Higher Education: An Empirical Study of Perceptions and Academic Practices

Generative artificial intelligence (GenAI) is diffusing rapidly in higher education, yet empirical evidence from Portugal remains limited. We conducted an online questionnaire (n = 77) targeting higher-education faculty and researchers in Portugal and analyzed the data using descriptive statistics and non-parametric tests (Mann–Whitney, Kruskal–Wallis). Participants most frequently reported using QuillBot, followed by Bing Chat and ChatPDF, with a sizable minority indicating the use of additional, unlisted GenAI applications and reported use cases clustered around idea generation, drafting, summarization, proofreading, and coding, while trust and appropriateness varied by task type. Inferential tests suggested differences by gender and by discipline for selected items (e.g., p-value=0.008, p-value=0.039, p-value=0.023); given the small and imbalanced subgroups, these findings should be interpreted cautiously and supplemented with effect sizes and confidence intervals. No statistically significant differences by age or gender were observed for the ethical-concerns items. We discuss implications for training, assessment, and policy design, and outline pragmatic recommendations for responsible GenAI integration in Portuguese higher education.

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Publication Details

Journal
Procedia Computer Science
Published
2026-01-01
DOI
https://doi.org/10.1016/j.procs.2026.03.032
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
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article

Adoption of Generative AI in Portuguese Higher Education: An Empirical Study of Perceptions and Academic Practices

Sónia Rolland Sobral, Natércia Durão, Carla Santos Pereira, Carla Lobo et al.
Procedia Computer Science
Online Learning and Analytics
article

Adoption of Generative AI in Portuguese Higher Education: An Empirical Study of Perceptions and Academic Practices

Sónia Rolland Sobral, Natércia Durão, Carla Santos Pereira, Carla Lobo, Fernando Diniz Moreira, María Marina Arias Ferreira
article en

Abstract

Generative artificial intelligence (GenAI) is diffusing rapidly in higher education, yet empirical evidence from Portugal remains limited. We conducted an online questionnaire (n = 77) targeting higher-education faculty and researchers in Portugal and analyzed the data using descriptive statistics and non-parametric tests (Mann–Whitney, Kruskal–Wallis). Participants most frequently reported using QuillBot, followed by Bing Chat and ChatPDF, with a sizable minority indicating the use of additional, unlisted GenAI applications and reported use cases clustered around idea generation, drafting, summarization, proofreading, and coding, while trust and appropriateness varied by task type. Inferential tests suggested differences by gender and by discipline for selected items (e.g., p-value=0.008, p-value=0.039, p-value=0.023); given the small and imbalanced subgroups, these findings should be interpreted cautiously and supplemented with effect sizes and confidence intervals. No statistically significant differences by age or gender were observed for the ethical-concerns items. We discuss implications for training, assessment, and policy design, and outline pragmatic recommendations for responsible GenAI integration in Portuguese higher education.

Procedia Computer ScienceVol. 278
Quality Education
Openalex Percentile: Top 20%
Online Learning and Analytics
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Adoption of Generative AI in Portuguese Higher Education: An Empirical Study of Perceptions and Academic Practices — Sónia Rolland Sobral, Natércia Durão, et al. · Procedia Computer Science (2026) | TGRS Research Map | TGRS