Exploring research trends on AI-Enhanced Digital Twins for education: A bibliometric analysis

This study examines research trends on AI-assisted digital twins in education through bibliometric analysis. A total of 494 publications indexed in the Scopus database between 2020 and 2025 were analyzed using VOSviewer, selecting from author citations, keyword association, bibliographic matching, and country-level collaboration networks. The findings reveal that the vast majority of current research is concentrated in engineering and technology-focused fields, and that digital twins and artificial intelligence are emerging themes in this area. Educational theories, pedagogical models, and learning-centered frameworks remain limited in the literature. While China and Italy emerge as leading countries in publication output, international collaboration networks are still in their developmental stages. The study highlights the need for education-focused, theory-based research and practical applications. A significant limitation is the use of data from a single database, Scopus. Future studies are recommended to include other databases.