Explainable AI in Education

About the community

XAI-ED is a community of researchers and practitioners working on explainable and trustworthy AI and learning analytics in education. As AI and learning analytics increasingly shape how people learn and teach, we work to ensure these systems are not only technically robust but also transparent, equitable, pedagogically aligned, and attentive to the needs of diverse stakeholders.

We are an interdisciplinary community spanning educational data mining, learning analytics, human–computer interaction, cognitive science, and machine learning. We ask how the outcomes of educational AI can be explained to the people they affect — learners, teachers, and institutions — and how explainability can build trust, support good decisions, and keep humans in control.

The community comes together through workshops at venues such as Educational Data Mining (EDM), Artificial Intelligence in Education (AIED), the International Conference on Learning Analytics & Knowledge (LAK), and the Festival of Learning. Explore the editions to see past and upcoming events, or get to know the people behind XAI-ED.