Artificial intelligence in university education: a SWOT analysis from the students’ perspective
DOI:
https://doi.org/10.21142/DES-1804-2026-0091Keywords:
Artificial intelligence, higher education, perception, educational technology, university studentsAbstract
Introduction: the emergence of artificial intelligence (AI) has transformed higher education, and the role of these tools in students' training remains contested. Objective: to describe university students' perceptions of the use of AI in their academic training. Methodology: descriptive qualitative study; 88 sixth-semester students at a public Ecuadorian university, trained in research methods and in the use of AI, answered an open-ended questionnaire structured around the four SWOT dimensions. Responses were categorized through AI-assisted content analysis reviewed by the researchers. Results: the most frequent strengths and opportunities were broader access to educational resources and the optimization of academic tasks; the most frequent weaknesses and threats were cost and accessibility, technological dependence, algorithmic bias and privacy risks. Conclusion: these perceptions invite a rethinking of the educational model and an ethical, critical and equitable integration of these tools.
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