Artificial Intelligence in Education

Abstract

This article examines how artificial intelligence (AI) is integrated into education to personalize learning, focusing on implications for equity and accessibility. It analyzes current AI applications—such as intelligent tutoring systems, adaptive learning, and virtual assistants—that customize educational content to individual student needs. The article addresses challenges like the digital divide, algorithmic biases, and privacy concerns, which may exacerbate existing inequalities. Through real-world case studies, it highlights potential benefits and obstacles in implementing AI in education. Recommendations are proposed for equitable and accessible AI integration, including ethical policy development, promotion of inclusive pedagogical practices, investment in technological infrastructure, and designing human-centered technologies. Finally, it emphasizes balancing technological innovation with social responsibility, calling for collective action by policymakers, educators, and technology developers to shape an inclusive and effective educational future.