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September 10, 2025Information27 citationsOpen Access

Generative AI in Education: Mapping the Research Landscape Through Bibliometric Analysis

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SNSai Leung NgCHC Ho

Key Points

  • Generative AI shows exponential growth in educational publications from 2022 to 2025, transforming the academic landscape.
  • Analysis of 3808 articles reveals thematic clusters like higher education and ethics, highlighting regional contributions.
  • Using VOSviewer, six key themes including writing support and assessment were identified, emphasizing learner-centered approaches.
  • The findings point to a significant shift from tool-based inquiry towards learner engagement and academic integrity.

Abstract

The rapid emergence of generative AI technologies has sparked significant transformation across educational landscapes worldwide. This study presents a comprehensive bibliometric analysis of GAI in education, mapping scholarly trends from 2022 to 2025. Drawing on 3808 peer-reviewed journal articles indexed in Scopus, the analysis reveals exponential growth in publications, with dominant contributions from the United States, China, and Hong Kong. Using VOSviewer, the study identifies six major thematic clusters, including GAI in higher education, ethics, technological foundations, writing support, and assessment. Prominent tools, especially ChatGPT, are shown to influence pedagogical design, academic integrity, and learner engagement. The study highlights interdisciplinary integration, regional research ecosystems, and evolving keyword patterns reflecting the field’s transition from tool-based inquiry to learner-centered concerns. This review offers strategic insights for educators, researchers, and policymakers navigating AI’s transformative role in education.

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Cite This Study

Ng et al. (2025) studied this question.

synapsesocial.com/papers/68c1b61454b1d3bfb60eb81bhttps://doi.org/10.3390/info16080657
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