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Purpose This study reviews documents and analyzes features of a knowledge base represented by AI-inclusive education through bibliometric analysis. The intention is to shed light on research subjects, theoretical frameworks, and publication trends in AI-inclusive education. The results will support the advancement of AI-powered inclusive education systems and aid in closing comprehension gaps. Design/methodology/approach The findings reveal the primary study topics and their theoretical underpinnings, promoting further development of AI-driven solutions for inclusive education. Findings According to the report, AI-inclusive education is fueled by technological breakthroughs, but it is imperative to integrate these tools with efficient teaching strategies. Originality/value To ensure that AI technology effectively promotes inclusive education, future research must address the difficulties of integrating AI into various educational settings and for various user groups.
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Daniusevičiūtė-Brazaitė et al. (2026) studied this question.
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