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Session Type: Roundtable Session
This session links classroom practice, teacher competence, and system-level readiness to show what responsible AI integration in education requires—from individual skills to district policy and interoperable learning-data ecosystems. Together, the four papers address practical teacher–AI collaboration, validated measures of GenAI competence, leadership strategies for ethical implementation, and the technical and governance challenges of learning-data standards. The session invites discussion on aligning professional development, assessment, policy, and data infrastructure to scale equitable, human-centered AI in schools.
Exploring the Roles of Generative AI in Elementary Education: Collaboration with Teachers in Daily Practice - Seoyeon Choi, Korea University; Jiyoon Jung, Korea University; Insook Han, Korea University
From Principles to Practice: Development and Validation of a Teacher GenAI Competency Scale - Xianhan Huang, The Education University of Hong Kong; Wen SHAO, University of Hong Kong; Shiyu Zhang, The University of Hong Kong
AI and Educational Leadership: Building Capacity for a Transformative Future - Nancy Watkins, California State University - Fullerton
Exploring Key Issues in Learning Data for AI Digital Textbooks - Young Ri Lee, Seoul National University; Seonmin Eun, Seoul National University; Anna Kim, Seoul National University; Young Hoan Cho, Seoul National University