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From Exclusion to Inclusion AI as a Catalyst for Equal Access to Education
Abstract
Artificial Intelligence (AI) holds transformative potential to address long-standing educational inequities by enabling personalized, accessible, and inclusive learning experiences. This chapter explores how AI can shift education systems from exclusion to inclusion, particularly benefiting learners from marginalized backgrounds, including those with disabilities, rural populations, and linguistic minorities. Drawing on global case studies—from India's DIKSHA platform and mobile learning in Sub-Saharan Africa to AI-driven STEM initiatives in Latin America and mental health support in higher education—the chapter highlights both innovations and implementation challenges. It emphasizes the need for ethical, equitable, and interdisciplinary approaches to AI design, aligning with global frameworks such as SDG 4. By balancing innovation with fairness and accessibility, and embedding inclusive practices into policy and pedagogy, AI can contribute significantly to building future-ready, inclusive education systems where no learner is left behind.
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