Art Education Reform in the AI Era: Opportunities, Challenges, and Pathways

This study examined art education reform in the context of artificial intelligence (AI) through a qualitative conceptual analysis grounded in integrative literature review. Rather than presenting a single empirical case, the paper synthesizes recent scholarship from AI in education, higher education policy, creativity research, and art-and-design studies to clarify three central concerns: what is changing, what is at stake, and what institutional pathways are most educationally sound. The analysis identified a shifting educational ecology in which generative AI transforms not only artistic production but also ideation, evaluation, and creative decision-making, repositioning learning toward higher-order processes such as curation and critical judgment. At the same time, significant tensions emerge, including the erosion of originality, risks of overreliance, ethical concerns related to authorship and bias, and challenges to process-based pedagogy and assessment. Drawing on thematic synthesis and conceptual mapping, the study argues that AI should not be treated as either a threat to art education or a neutral efficiency tool, but as a disruptive medium requiring systemic reform. Key institutional responses include curriculum redesign, assessment reform emphasizing process and reflection, integration of AI literacy and ethics, faculty development, and adaptive governance frameworks. Anchored in a constructivist epistemology, the study highlights the importance of preserving human-centered values such as creativity, criticality, and cultural interpretation while engaging with AI-mediated practices. The paper contributes a conceptual framework that supports policy development and future empirical research on sustainable and ethically grounded art education in the AI era.

artificial intelligence, art education, curriculum reform

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