Dynamics of Scientific Discourse on Artificial Intelligence in Education: Bibliometric Analysis and Thematic Modeling

Abstract

The present study is devoted to a comprehensive analysis of the scientific discourse related to the integration of artificial intelligence (AI) in the educational environment in the period from 2015 to 2025. The relevance of the work is due to the rapid penetration of AI technologies in the educational space, which requires systematization of knowledge about the dynamics of research trends, methodological approaches and conceptual shifts. The scientific novelty lies in the application of a combined methodology combining bibliometric analysis, latent Dirichlet placement (LDA) for topic modeling and statistical methods, which made it possible to identify the structural features of discourse and its evolution. Based on the analysis of 362 articles from the Lens database, 21 thematic areas are identified, reflecting key research focuses ranging from the implementation of AI in school education (K-12) to ethical challenges and anthropocentric models. The results show an exponential growth in publication activity, dominated by technological research, with a lack of representation of socio-humanities disciplines. Geographical analysis revealed the leadership of the USA, UK and China, which emphasizes the regional asymmetry in the study of the problem topical “AI in education”. An important conclusion is the paradigm shift in the perception of AI: from autonomous agents to tools complementing human resources, with an emphasis on the role of the educator and selective application of technologies. It is found that promising directions are shifting towards the analysis of anthropocentric models, personalization of learning and ethical aspects of generative language models. The study contributes to the understanding of structural changes in the scientific discourse of “AI in education” and to the creation of a unified logical contour of problems calls of modern education, conditioned by the role and prospects of AI systems in education.