Bibliometric analysis of scientific publications on artificial intelligence in educational management and leadership: Web of Science and Scopus sources between 1986-2026

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info:eu-repo/semantics/openAccess

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Eğitim Bilimleri Fakültesi, Rehberlik ve Psikolojik Danışmanlık Bölümü
Eğitim Bilimleri Fakültemiz, kuram ve uygulamaların öğretildiği bir yer olmanın ötesinde, fikirlerin yeşerdiği, yeteneklerin geliştiği ve ömür boyu süren arkadaşlıkların kurulduğu dinamik ve çeşitlilik gösteren bir topluluktur.

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This study aims to map the academic literature at the intersection of artificial intelligence (AI) and educational management/leadership through bibliometric methods, using a dataset of 1,072 articles retrieved from the Web of Science and Scopus databases. Analyses conducted with R software and the Biblioshiny package reveal that the field is exceptionally young and dynamic, with an average document age of only 2.7 years, and that scientific output has increased substantially in the post-2020 period. This dynamic structure can be attributed to the COVID-19 pandemic and the widespread diffusion of generative AI tools. The geographical distribution of publication output indicates orientation towards new geographical directions with a growing concentration along a Eurasian axis. At the institutional level, Kazan Federal University (99 publications) and RUDN University (62 publications) emerge as dominant contributors, while China holds a global leadership position in citation impact (1,885 citations). This result should be cautiously handled as the database bias and publication concentration effects might have influenced the search outputs. In terms of conceptual structure, "artificial intelligence" and "machine learning" appear as dominant terms, and the thematic map identifies these concepts- together with "education management"-as motor themes. This finding suggests that the field has moved beyond purely theoretical debates and is transitioning into the mainstream of datadriven educational management. Considering this transformation, it is recommended that policymakers and leadership-development programs urgently integrate modules on data literacy and AI ethics. Overall, the study concludes that the discipline is undergoing a transition period, where future leaders will be responsible for governing algorithmic resources alongside human resources.

Açıklama

Relevance to the project Center for Leaders’ and Teachers’ Excellence, TR10/23/SOGEP/YÖM/0001, Istanbul Development Agency ISTKA, with no funding for the present paper.

Anahtar Kelimeler

Artificial Intelligence, Bibliometric, Education, Leadership, Management

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Contemporary Educational Technology

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18

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2

Künye

Yurdunkulu, A. (2026). Bibliometric analysis of scientific publications on artificial intelligence in educational management and leadership: Web of Science and Scopus sources between 1986-2026. Contemporary Educational Technology, 18(2), 1-18. https://www.doi.org/10.30935/cedtech/18577

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