Between Canvas and Code: East Asian Art Educators Reflect on AI’s Role in Teaching and Identity

• In Event: Critical Reflection of AI Integration in Education

Abstract

This study explores how East Asian art educators are navigating the integration of artificial intelligence (AI) in their teaching through collaborative autoethnography and interviews. Drawing on the experiences of three educators based in the U.S., China, and South Korea, and guided by an Interpretive Collaborator, the research examines how AI technologies are reshaping lesson planning, classroom engagement, professional identity, and ethical frameworks. Thematic analysis reveals that AI supports efficiency in preparation, enhances student curiosity, and challenges educators to reimagine their roles—from content experts to co-learners. While AI reinforces student-centered philosophies, it also raises concerns around authenticity, authorship, and relational teaching. This study contributes a culturally grounded perspective to global discourses on ethical AI integration in art education.

Authors

• Siyao Lyu, Columbia University

• Sori Kim, Teachers College, Columbia University

• Sung-ah Jun, Sahmyook University

• Yadi Liu, China Academy of Ar