Evaluation of Generative AI Use to Foster Critical Thinking in Higher Education
Abstract
Critical thinking is a key competency in higher education, particularly in digital environments that demand analysis, judgment, and informed decision-making. Generative Artificial Intelligence (GenAI) represents an emerging opportunity to enhance complex cognitive skills in educational settings. A quasi-experimental research design with a mixed-methods approach was employed and applied to a sample of university students aiming to address the research question: What is the impact of using GenAI tools on the development of critical thinking in university students? The educational intervention consisted of structured workshops that incorporated GenAI tools into activities aimed at developing six dimensions of critical thinking: remembering, understanding, applying, analyzing, evaluating, and creating. Results showed significant improvements in applying (p =.002), analyzing (p =.0008), and evaluating (p =.003), all associated with higher-order thinking skills. Three dimensions -remembering, understanding, and creating- showed statistically significant changes. However, students’ perception showed a notable increase in the value of GenAI use. Additionally, participants highlighted the usefulness of GenAI for generating ideas, decision making, and promoting deeper reflections. The study concludes that the intentional integration of GenAI technologies, when aligned with clear educational goals, can produce a meaningful and positive impact on the development of critical thinking in university contexts. These findings offer empirical support for designing innovative, ethically grounded learning experiences that incorporate GenAI to strengthen cognitive development in higher education.
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“Study of Oliva-Córdova et al (2025) demonstrates that the intentional integration of structured workshops based on generative Artificial Intelligence aligned with clear educational goals can produce a meaningful and positive impact on enhancing university students' higher-order thinking skills,…”
Influential
- Authors
- Oliva-Córdova, L. M., Álvarez-Icaza, I., & George-Reyes, C. E.
- Affiliations
- Tecnológico de Monterrey (MX)
- Institute for the Future of Education, Tecnológico de Monterrey, Mexico City, Mexico
- Venue
- IEEE Revista Iberoamericana de Tecnologias del Aprendizaje
- Published
- 2025
- Volume
- 20
- Pages
- 237-243
- ISSN
- 1932-8540 (ISSN-L)
- 2374-0132
- OpenAlex
- W4413155743
- Cited by
- 17
- References
- 29
- Citations by year
- 2026: 14 · 2025: 3
- FWCI
- 17.49
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Revista Iberoamericana de Tecnologias del Aprendizaje (publishedVersion)
- Funders
- Tecnológico de Monterrey through the “Challenge-Based Research Funding Program 2023”, entitled “Complex Thinking Education for All (CTE4A): A Digital Hub and School for Lifelong Learners” (IJXT070-23EG99001)
- Writing Laboratory, Institute for the Future of Education, Tecnológico de Monterrey, México
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Education › Education and Critical Thinking Development
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- generative AI, critical thinking, higher education, university students, higher-order thinking skills, Bloom's taxonomy, AI integration in education, student perceptions, AI workshops, cognitive development
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