Keywords
Artificial Intelligence, Digital Culture, Digital Literacy, Higher Education, University Students, Pedagogical Innovation
Abstract
The emergence of generative artificial intelligence (GAI) in higher education is reshaping the ways in which students access, process, and produce knowledge. However, most existing studies have focused on its formal and institutionalized uses, overlooking the informal practices that emerge in students’ daily academic life. This article addresses this gap through a mixed-method study with a qualitative emphasis, aimed at examining how undergraduate and graduate students use tools such as ChatGPT outside formal instructional settings. The quantitative phase consisted of an online survey with 73 students from different academic areas, while the qualitative phase included 12 semi-structured interviews analyzed using an inductive thematic approach. Findings reveal a wide range of uses of GAI: idea generation, conceptual clarification, drafting of academic texts, translation, simulation of exam responses, and socio-emotional support. These practices highlight the function of GAI as a “cognitive copilot,” fostering student autonomy and peer collaboration. At an interpretative level, the results conceptualize these practices as expressions of an emerging university digital culture and as forms of critical digital literacy, where students reconfigure their relationship with knowledge and learning communities. The study concludes that recognizing and integrating these informal uses into pedagogy is crucial for fostering a responsible and interdisciplinary debate on the role of GAI in contemporary higher education.
References
Allen, L. K. y Kendeou, P. (2024). ED-AI Lit: An Interdisciplinary Framework for AI Literacy in Education. Policy Insights from the Behavioral and Brain Sciences, 11(1), 3-10. https://doi.org/10.1177/23727322231220339
Braun, V. y Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101. https://doi.org/10.1191/1478088706qp063oa
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 38. https://doi.org/10.1186/s41239-023-00408-3
Jo, H. (2024). From concerns to benefits: a comprehensive study of ChatGPT usage in education. International Journal of Educational Technology in Higher Education, 21(1), 35. https://doi.org/10.1186/s41239-024-00471-4
López-Fernández, D. y Vergaz, R. (2024). Adoption and Impact of ChatGPT in Computer Science Education: A Case Study on a Database Administration Course. AI, 5(4), 2321. https://doi.org/10.3390/ai5040114
Miao, F. y Holmes, W. (2023). Guidance for generative AI in education and research. UNESCO. https://doi.org/10.54675/EWZM9535
Montenegro-Rueda, M., Fernández-Cerero, J., Fernández-Batanero, J. M. y López-Meneses, E. (2023). Impact of the Implementation of ChatGPT in Education: A Systematic Review. Computers, 12(8), 153. https://doi.org/10.3390/computers12080153
OECD. (2024). Education Policy Outlook 2024: Reshaping Teaching into a Thriving Profession from ABCs to AI. OECD Publishing. https://doi.org/10.1787/dd5140e4-en
Scolari, C. A., Masanet, M.-J., Guerrero-Pico, M. y Establés, M.-J. (2018). Transmedia literacy in the new media ecology: Teens´ transmedia skills and informal learning strategies. Profesional de la Información, 27(4), 801-812. https://doi.org/10.3145/epi.2018.jul.09
Strzelecki, A. (2024). Students’ Acceptance of ChatGPT in Higher Education: An Extended Unified Theory of Acceptance and Use of Technology. Innovative Higher Education, 49(2), 223-245. https://doi.org/10.1007/s10755-023-09686-1
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Technical information
Received: 2025-06-27 | Reviewed: 2025-09-15 | Accepted: 2025-10-11 | Online First: 2026-04-11 | Published: 2026-04-15
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Manuel Alberto Montero Lora., María Montás García. (2026). Informal Uses of Generative AI in University Digital Culture. Comunicar, 34(85). 10.5281/zenodo.19689887
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