POLICY DEVELOPMENT FOR AI INTEGRATION IN EDUCATION: CHALLENGES, STRATEGIES, AND GOVERNANCE FOR EFFECTIVE IMPLEMENTATION

Abstract

The rapid adoption of Artificial Intelligence (AI) in education presents transformative opportunities for personalized learning, administrative efficiency, and global access. However, the integration of AI into educational systems also raises significant challenges related to equity, ethics, governance, and data management. Policy development is critical to ensuring that AI implementation enhances educational quality while safeguarding ethical principles and social justice. This paper examines the current landscape of AI integration in education, identifies key policy challenges, and proposes a comprehensive framework for effective AI governance. Drawing on global policy documents, academic literature, and conceptual models, the study highlights strategic approaches for policymakers, educational institutions, and technology developers. Findings suggest that successful AI integration requires multi-stakeholder engagement, ethical oversight, capacity building for educators, and robust regulatory frameworks. The paper concludes with actionable recommendations to guide equitable, responsible, and sustainable AI adoption in educational systems.