Generative artificial intelligence in education: a bibliometric analysis

Authors

  • Aline Barbosa Xavier Muniz Universidade Católica de Brasília – Brasil https://orcid.org/0009-0007-2663-6938

    Doutoranda no Programa de Pós-graduação em Educação da Universidade Católica de Brasília (UCB). Pedagoga da Escola Superior de Defesa (ESD). Pesquisadora no Laboratório de Segurança, Desenvolvimento e Defesa (LAB/SDD). Pesquisadora na área de mapeamento de competências e inteligência artificial na educação.
    Correo electrónico: aline.muniz@a.ucb.br
  • Eduardo Amadeu Dutra Moresi Universidade Católica de Brasília – Brasil https://orcid.org/0000-0001-6058-3883

    Licenciado em Engenharia Eletrónica pelo Instituto Militar de Engenharia (1989). Doutor em Ciência da Informação UNB (2001). Assessor técnico do Centro de Gestão e Estudos Estratégicos.
    Coordena o Programa Apple Developer Academy na UCB. Tem experiência na área de Ciência da Informação atuando principalmente nos seguintes temas: bibliometria, cientometria, patentometria e IA Generativa para apoiar a pesquisa científica.
    Correo electrónico: moresi@p.ucb.br

DOI:

https://doi.org/10.18800/educacion.202601.A008

Keywords:

Bibliometrics, Competence, Education, Generative artificial intelligence

Abstract

This article explores the use of Generative Artificial Intelligence (GenAI) in education through a bibliometric and qualitative approach. The study identifies emerging themes and highlights GenAI’s impact in educational contexts. Data from the Scopus database were analyzed using VOSviewer, Gephi, and Bibliometrix to examine keyword co-occurrences, driving themes, and highly cited articles. Findings were grouped into three main clusters: ChatGPT, Generative AI, and Technological Education, addressing issues such as ethics, academic integrity, and digital transformation. The analysis shows that while GenAI offers opportunities like improved accessibility and educational efficiency, it also raises concerns about bias, privacy, and the decline of critical thinking. This study contributes to understanding GenAI’s implications for education, offering insights for future research and practice.

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Published

2026-03-26

How to Cite

Xavier Muniz, A. B., & Dutra Moresi, E. A. (2026). Generative artificial intelligence in education: a bibliometric analysis: . Educacion, 35(68), 172–198. https://doi.org/10.18800/educacion.202601.A008

Issue

Vol. 35 No. 68 (2026)

Section

Artículos

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