- Мінтій, І.С. (orcid.org/0000-0003-3586-4311), Вакалюк, Тетяна Анатоліївна (orcid.org/0000-0001-6825-4697), Сіренко, О.Ю. (orcid.org/0009-0006-4489-2110) and Спірін, О.М. (orcid.org/0000-0002-9594-6602) (2026) Artificial intelligence in educational research: a bibliometric analysis of publication activity in Scopus and Web of Science (2022–2026) Інноваційна педагогіка, 4 (93). ISSN 2663-6085 (Submitted)
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Abstract
The relevance of this research is determined by the rapid growth of publication activity in the field of artificial intelligence in education following the mass public release of generative models, and by the need for systematic mapping of this corpus. The purpose of this article is to conduct a comparative bibliometric analysis of publications on the topic of artificial intelligence in educational research in the Scopus and Web of Science databases for 2022–2026, and to identify the quantitative and structural features of Ukrainian researchers' participation in this scientific field. Methods: bibliometric analysis, VOSviewer keyword co-citation mapping, comparative analysis of search results across two databases. Results: the total corpus of publications on artificial intelligence in educational research amounts to 27,845 documents in Scopus and 27,381 in Web of Science, constituting less than 10% of the total artificial intelligence research output in both databases. Ukraine accounts for approximately 1% of this corpus (257 publications in Scopus, 225 in Web of Science). The subject structure of the Ukrainian segment differs markedly between the two databases: Scopus reflects a technical orientation dominated by Computer Science (59.5%), while Web of Science better captures the pedagogical dimension, with Education and Educational Research comprising 42.7% of documents. VOSviewer mapping revealed three stable thematic clusters in Ukrainian authors' publications: (1) artificial intelligence in engineering and technical workforce training; (2) artificial intelligence as a driver of educational system transformation and distance learning; (3) generative artificial intelligence and academic integrity. The third cluster, as evidenced by its comparatively lower link density on the keyword map, remains at an emergent stage relative to the first two.
| Item Type: | Article |
|---|---|
| Keywords: | artificial intelligence, educational research, bibliometric analysis, mapping, Scopus, Web of Science, VOSviewer. |
| Subjects: | Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education |
| Divisions: | Institute for Digitalisation of Education > Department of Open Education and Scientific Information Systems |
| Depositing User: | співробітн Ірина Мінтій |
| Date Deposited: | 21 Apr 2026 14:18 |
| Last Modified: | 21 Apr 2026 14:18 |
| URI: | https://lib.iitta.gov.ua/id/eprint/748937 |
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