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The Landscape of Artificial Intelligence in Education: A Bibliometric Analysis (1989–2025)
Abstract
This chapter presents a comprehensive bibliometric analysis of the evolution and trends of artificial intelligence (AI) in education (AIED) from 1989 to 2025. The present study focuses on peer-reviewed publications indexed in the Web of Science, exploring key contributors, institutions, countries, and emergent research themes across the field. Utilizing data extracted through a systematic search and analyzed with the Biblioshiny R language and VosViewer, this study identifies major clusters, collaboration patterns, and citation dynamics. The findings are interpreted within the framework of educational technology paradigms such as TPACK and the SAMR model. The chapter provides insights into the role of AI in shaping curriculum, pedagogy, assessment, and equity in education. By mapping the intellectual and conceptual structure of this growing field, the analysis reveals prevailing and emerging trends while offering guidance for future research and practice.
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