Use of artificial intelligence in university education

Bibliometric exploration

Authors

DOI:

https://doi.org/10.21142/DES-1701-2025-0010

Keywords:

Artificial intelligence, educational technology, higher education, teaching, learning

Abstract

This study aims to conduct a bibliometric analysis to investigate the current state of artificial intelligence (AI) adoption and utilization in higher education. A quantitative methodology was employed, analyzing 1476 scientific articles from renowned databases such as Scopus and Web of Science. Data was processed using the digital tools R and VOSviewer. The findings reveal an exponential growth in publications, with a growing focus on personalized learning, automated assessment, and the use of tools like ChatGPT. Significant international collaborations were identified; however, ethical challenges and the need for appropriate policies to ensure equitable and effective AI implementation in education were also highlighted. This study provides a global overview of research trends in AI in higher education, examining its applications, opportunities, and challenges for the teaching-learning process.

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Author Biographies

  • Janet Corzo-Zavaleta, Universidad Nacional Agraria La Molina. Lima, Perú / Universidad de Ciencias y Humanidades. Lima, Perú

    Docente en el departamento de Ciencias Humanas y Educación de la Universidad Nacional Agraria La Molina. Su trayectoria académica incluye estudios de posgrado en la Université Aix-Marseille (Francia) y una amplia experiencia en educación superior. Su investigación se centra en la mejora de la calidad de la enseñanza mediante la implementación de metodologías activas y el uso de herramientas tecnológicas en el aula.

  • Yulissa Maruschka Navarro Castillo, Universidad Politécnica de Madrid

    Docente en el Departamento de Gestión Empresarial de la Universidad Nacional Agraria La Molina. Candidata a doctora en la Universidad Politécnica de Madrid (España) y máster en Administración Pública por la Universidad de Minho (Portugal). Las líneas de investigación que ha desarrollado incluyen educación universitaria, comportamiento organizacional, innovación, género y tecnología.

  • Mildher Ugaz-Rivero, Universidad Nacional Agraria La Molina. Lima, Perú / Pontificia Universidad Católica del Perú. Lima, Perú

    Docente en el departamento de Gestión Empresarial en la Universidad Nacional Agraria la Molina. Cuenta con experiencia en educación, docencia, gestión, capacitación y consultoría, y se enfoca en la mejora de la calidad educativa. Ha colaborado con diversas instituciones de prestigio en el seguimiento e implementación de programas de mejora continua. Su investigación se centra en la educación superior, el desarrollo curricular, la calidad educativa, la innovación y las herramientas tecnológicas.

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Published

2025-01-30

How to Cite

Use of artificial intelligence in university education: Bibliometric exploration. (2025). Desde El Sur, 17(1), e0010. https://doi.org/10.21142/DES-1701-2025-0010

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