| Title |
Research trends in AI for inclusive education: a bibliometric analysis |
| Authors |
Daniuseviciute-Brazaite, Laura ; Paulauskaite-Taraseviciene, Agne |
| DOI |
10.1108/IJILT-02-2025-0039 |
| Full Text |
|
| Is Part of |
International journal of information and learning technology.. Leeds : Emerald. 2026, vol. 43, iss. 4, p. 416-439.. ISSN 2056-4880. eISSN 2056-4899 |
| Keywords [eng] |
artificial intelligence ; AI ; inclusive education ; AI-inclusive education ; bibliometric analysis |
| Abstract [eng] |
Purpose – This study reviews documents and analyzes features of a knowledge base represented by AIinclusive education through bibliometric analysis. The intention isto shed light on research subjects, theoretical frameworks, and publication trends in AI-inclusive education. The results will support the advancement of AIpowered 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. |
| Published |
Leeds : Emerald |
| Type |
Journal article |
| Language |
English |
| Publication date |
2026 |
| CC license |
|
