Explainable AI in Education
A community advancing transparent, accountable, and human-centred AI for teaching and learning.
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.
Upcoming events
AXLE @ Festival of Learning 2026
- 27 June 2026
- COEX Center, Seoul, Republic of Korea
AXLE: Agency-driven eXplainable Learning Experiences — reframing explainability as a design challenge for accountable, equitable, and agency-supportive AI in education, at the Festival of Learning 2026.
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Meet us at the Festival of Learning (AXLE)
Our next stop is AXLE — the XAI-ED workshop at the Festival of Learning 2026. Come along to meet the community, hear about explainable AI in education, and join the conversation.
Read MoreThe new XAI-ED website is online
The new XAI-ED community website is up and running. This is the home of the XAI-ED community — explainable AI in education — bringing together our workshops and editions in one place.
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