This track focuses on autonomous and semi-autonomous AI agents that support educational activities and processes. It covers single-agent and multi-agent systems for tutoring, planning, assessment, resource recommendation, classroom management, and administrative support. Contributions may investigate agentic reasoning, tool use, memory, coordination, and human oversight. The track also addresses the integration of AI agents into learning platforms and institutional workflows. Studies examining reliability, interoperability, scalability, and real-world deployment are particularly welcome.

Focus: AI agents capable of coordinating tasks, tools, and people across educational workflows. Emphasis is placed on effective human oversight, dependable operation, and integration into authentic learning environments.