Sep 2026· International Journal of Computer Science and Mathematical Theory· 0 citations
Abstract
The integration of artificial intelligence (AI) in education presents substantial opportunities to
transform learning, enhance personalized instruction, and streamline administrative processes.
However, the persistent digital divide remains a critical barrier, amplifying disparities in access
to AI-powered educational resources. Socioeconomic inequalities, geographic limitations, and
insufficient infrastructure continue to restrict equal learning opportunities, particularly in less
developed regions. While AI tools—such as adaptive learning platforms, intelligent tutoring
systems, and automated assessment technologies—can help close learning gaps, their
effectiveness relies on broad and equitable accessibility. Addressing these challenges requires
strategic policy measures, targeted investment in digital infrastructure, and inclusive AI models
that accommodate linguistic and cultural diversity. Collaboration among governments,
educational institutions, and technology developers is crucial to ensure ethical, equitable, and
responsible deployment of AI in education. This paper explores the intersection of AI adoption
and the digital divide, emphasizing the need for ethical AI frameworks, affordability initiatives,and comprehensive teacher training programs. It also considers the role of open-source AI
platforms and public–private partnerships in expanding access. By mitigating digital inequities,
AI has the potential to advance inclusive, high-quality education, align with global goals such as
the United Nations Sustainable Development Goal 4 (SDG 4), and foster a more equitable,
knowledge-driven society.
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