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Artículos de Revisión

Vol. 6 Núm. 11 (2026): Revista Simón Rodríguez

La inteligencia artificial generativa en la docencia universitaria

Generative artificial intelligence in university teaching
Publicado
2026-04-07

La Inteligencia Artificial Generativa (IAG) ha irrumpido en la educación superior con potencial transformador, pero también con desafíos significativos. Este artículo analiza el impacto de la IAG en la docencia universitaria, enfatizando dimensiones éticas e integridad académica. Se realizó una revisión sistemática siguiendo PRISMA 2020, consultando Scopus, Web of Science, Google Scholar, Dialnet, Scielo y Redalyc (2015-2026). De 348 estudios identificados, se incluyeron 47 tras aplicar criterios de elegibilidad. El análisis temático identificó oportunidades en personalización del aprendizaje, generación de recursos y retroalimentación instantánea. Sin embargo, emergen desafíos críticos: integridad académica, fiabilidad informativa y privacidad de datos. Se concluye que la integración efectiva requiere rediseño pedagógico profundo, políticas de integridad académica robustas y marcos éticos institucionales que garanticen un uso equitativo y responsable de la tecnología.

Generative Artificial Intelligence (GAI) has burst onto the scene in higher education with transformative potential but also significant challenges. This article analyzes the impact of GAI on university teaching, emphasizing ethical dimensions and academic integrity. A systematic review was conducted following PRISMA 2020 guidelines, consulting Scopus, Web of Science, Google Scholar, Dialnet, SciELO, and Redalyc (2015–2026). Of the 348 studies identified, 47 were included after applying eligibility criteria. Thematic analysis identified opportunities in personalized learning, resource generation, and instant feedback. However, critical challenges emerge: academic integrity, information reliability, and data privacy. The article concludes that effective integration requires profound pedagogical redesign, robust academic integrity policies, and institutional ethical frameworks that guarantee the equitable and responsible use of the technology.

Número:
Vol. 6 Núm. 11 (2026): Revista Simón Rodríguez
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Artículos de Revisión

Referencias

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