AXLE: Agency-Driven Explainable Learning Experiences

Agency-driven Explainable Learning Experiences is a half-day interdisciplinary workshop bringing together researchers and practitioners from the AIED, EDM, and L@S communities to explore how AI systems in education can be made more agency-preserving through explainability. Rather than treating explainability as a purely technical feature, we reframe it as a socio-technical design challenge, one that must be embedded across the entire AI life cycle, from data pipelines and model development to classroom deployment and institutional governance. Through introductory and keynote talks, collaborative design activities, and structured discussions, participants will engage with shared design principles and a cross-disciplinary research agenda. The workshop aims to address the role that explainable AI in education can play to empower teachers, learners, and institutions to understand, contest, and actively shape the AI systems that influence their educational experiences.