The ARTIFICIAL INTELLIGENCE IN EDUCATION AS A WAY TO CONSTRUCT EDUCATIONAL CONTENT: BIBLIOMETRIC ANALYSIS

Abstract

This study presents a comprehensive bibliometric analysis of international scientific publications devoted to the application of artificial intelligence (AI) in the development and adaptation of educational content over the period 2014-2024. Over the last decade, AI has evolved from an auxiliary technological instrument into a strategic driver of educational transformation, enabling the transition from episodic digital solutions to complex, integrated systems such as intelligent tutoring platforms, adaptive learning environments, and generative AI models capable of producing textual, visual, and multimedia educational resources. Against this backdrop, the study aims to systematize the rapidly expanding body of academic research and to identify key trends, conceptual clusters, and geographical patterns that shape contemporary scientific discourse on AI in education. Based on data retrieved from the Scopus database, the research examines publication dynamics, productivity and impact of leading journals, authors, and institutions, as well as international collaboration networks. Special attention is given to thematic areas related to generative AI, personalized and adaptive learning, sustainable education, and the pedagogical implications of AI integration, including technology acceptance and behavioral aspects of learners and educators. The findings reveal a pronounced growth in publication activity since 2021, indicating the formation of a consolidated and interdisciplinary research field. Overall, the results confirm that AI is increasingly perceived not merely as a tool for automation but as a foundational resource for designing innovative, personalized, and sustainable educational ecosystems.