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This paper examines how artificial intelligence (AI) may not only integrate into existing curricula but fundamentally reshape educational structures. Grounded in curriculum theory and educational sociology, the analysis distinguishes between incremental improvements and transformative change. It explores how AI-driven tools—such as adaptive learning systems, virtual environments, and collaborative platforms—could enhance personalization, foster student agency, and enable nontraditional pathways. Yet it also highlights institutional resistance, noting that current school structures reinforce social stratification. The paper offers a multi-level conceptual analysis of curriculum as cultural, institutional, and technological practice. It concludes with practical strategies for educators and researchers to engage AI constructively, arguing that a new paradigm of learning—rooted in agency, community, and relevance—is possible and urgently needed.