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A Systematic Review of Studies on the Role of Artificial Intelligence in Promoting Inclusive Practices in Early Childhood Education

Research output: Chapter in Book/Report/Conference proceedingChapterResearch

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 languageEnglish
Title of host publicationReflective Explorations of the Future of Early Childhood Teacher Education and Practice
EditorsMasud Ahmmed, Scott Welsh, Keletso Magano-Niebling
Place of PublicationNew York, United States of America
Pages243-278
Edition1
DOIs
Publication statusPublished - 31 Aug 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

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