Profiles of Artificial Intelligence Use in Undergraduate Students

A Cluster Analysis

Authors

DOI:

https://doi.org/10.62701/revedu.v13.5512

Keywords:

Artificial Intelligence, Generative AI, Higher education, Automated learning, Architecture Education, Cluster analysis, Technology adoption, Generation Z

Abstract

In the current university context, artificial intelligence (AI) is becoming a cross-cutting resource that is reshaping study habits and access to knowledge. This study explores its integration into learning through a structured questionnaire administered to undergraduate students. Variables such as usage frequency, preferred tools, and perceived impact were analyzed. Results reveal widespread operational use, but limited strategic application. Through cluster analysis, distinct usage profiles were identified. The study concludes that a more ethical, critical, and pedagogically guided integration of AI is needed in higher education to fully harness its formative potential.

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Published

08-01-2026

How to Cite

Fanjul Fern´andez, M. L., Pradana Pérez, F. J., & Pérez Martín, J. (2026). Profiles of Artificial Intelligence Use in Undergraduate Students: A Cluster Analysis. EDU REVIEW. International Education and Learning Review Revista Internacional De Educación Y Aprendizaje, 13(2), 75–84. https://doi.org/10.62701/revedu.v13.5512

Issue

Vol. 13 No. 2 (2025)

Section

Research articles

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