Attitudes Toward the Use of Generative Artificial Intelligence Among University Students: A Literature Review
DOI:
https://doi.org/10.5377/ryr.v1i62.21722Keywords:
generative artificial intelligence, digital skills, critical thinking, higher education, university students, attitudesAbstract
This article presents a literature review on university students’ attitudes toward the use of Generative Artificial Intelligence (GAI) in higher education. The study constitutes a qualitative bibliographic review with a descriptive-analytical approach, examining 19 research works published between 2023 and 2025. Its purpose is to identify attitudinal patterns in the use of GAI, considering the cognitive, affective, and behavioral dimensions, as well as to analyze its integration within the university context. The findings reveal predominantly positive attitudes associated with the academic usefulness of GAI to enhance performance, optimize study time, and facilitate text generation. However, a notable gap exists between this functional perception and the technical or ethical understanding of its operation. Concerns are identified regarding plagiarism, privacy, misinformation, and algorithmic bias. Attitudes vary according to disciplinary field and cultural context. Although usage is frequent, it tends to be intuitive and unreflective, with limited critical verification of information. It is concluded that the effective integration of GAI requires strengthening digital competencies, promoting institutional ethical frameworks, and considering teacher training. In this regard, it is recommended that future research adopt a holistic approach that integrates attitudinal dimensions toward GAI. Likewise, it is suggested that comparative studies be developed to address cultural, disciplinary, and gender factors, and to analyze the impact of pedagogical strategies and institutional policies on the development of advanced digital competencies and the ethical use of GAI.
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Instituto de Ciencia, Tecnología e Innovación (ICTI)
Reality and Reflection
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