Abstract
This chapter presents a systematic review examining the role of artificial intelligence (AI) in promoting inclusive practices within early childhood education. Guided by Universal Design for Learning and the Social Model of Disability, the review explores how AI can support accessibility, participation, and personalised learning for diverse learners. Drawing on 15 empirical studies, the chapter analyses AI applications in adaptive learning, communication support, assessment, and pedagogy. Using thematic synthesis and bibliometric analysis, the review identifies key trends, opportunities, and challenges shaping the field. The findings suggest that AI can enhance inclusive learning through assistive technologies, adaptive supports, and learner-centred pedagogies. However, concerns remain regarding privacy, algorithmic bias, digital inequality, teacher preparedness, and relational learning. The chapter emphasises the importance of human-centred, ethical, and developmentally appropriate AI practices.
| Original language | English |
|---|---|
| Title of host publication | Reflective Explorations of the Future of Early Childhood Teacher Education and Practice |
| Editors | Masud Ahmmed, Scott Welsh, Keletso Magano-Niebling |
| Place of Publication | New York, United States of America |
| Pages | 243-278 |
| Edition | 1 |
| DOIs | |
| Publication status | Published - 31 Aug 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
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