Purpose We conduct this systematic literature review to propose a conceptual structure for the Artificial Intelligence in Education (AIED) field. By analyzing how research themes organize, interconnect, and evolve, we overcome the keyword limitations of past studies to clarify the field's current state and managerial implications. Design/methodology/approach Following the PRISMA protocol, we analyzed 127 articles from Web of Science and Scopus. We extracted bigrams directly from abstracts and used Bibliometrix for a thematic mapping analysis, classifying them into four quadrants by their centrality and density. Findings We identified ten thematic clusters constituting the AIED conceptual structure. The field has rapidly expanded since 2020, significantly influenced by the public release of ChatGPT. Our results highlight the tensions between technological efficiency and pedagogical concerns. Research limitations/implications
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