La Inteligencia Artificial Generativa en la Educación Superior: Una meta-revisión de estudios bibliométricos

• Corbacho-Valencia, Juan Manuel ^[2] ; Martínez-Rolán, Xabier ^[1] ; Pérez-Seoane, Jesús ^[1]
  1. [1] Universidade de Vigo

     Universidade de Vigo

     Vigo, España

     
  2. [2] Universida de Vigo
• Localización: EDU REVIEW: International Education and Learning Review / Revista Internacional de Educación y Aprendizaje, ISSN-e 2695-9917, Vol. 13, Nº. 2, 2025, págs. 85-98
• Idioma: español
• DOI: 10.62701/revedu.v13.5514
• Títulos paralelos:
  • Generative Artificial intelligence in Higher Education: A meta-review of bibliometric studies
• Enlaces
  • Texto completo
• Resumen
  • español

    Este estudio analiza la integración de la inteligencia artificial generativa (IAG) en la educación superior, destacando su impacto en la personalización del aprendizaje, la automatización de la retroalimentación y la creación de contenidos. A través de una meta-revisión de 28 estudios bibliométricos, se identifican tendencias emergentes, desafíos éticos y metodológicos, y se proponen futuras líneas de investigación. La bibliometría se presenta como una herramienta esencial para mapear el conocimiento en este campo dinámico.

  • English

    This study examines the integration of generative artificial intelligence (GAI) in higher education, highlighting its impact on personalized learning, automated feedback, and content creation. Through a meta-review of 28 bibliometric studies, emerging trends, ethical and methodological challenges are identified, and future research directions are proposed. Bibliometrics is presented as an essential tool for mapping knowledge in this dynamic field.

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