01 / Interaction
INtERACTION
Human–AI interaction in teaching and learning contexts.
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UCL Knowledge Lab · University College London
UCL Analytics & AI for Learning Team
We build analytics and AI that help people learn how to learn and solve complex problems together — the capacities that matter far more than the routine skills today's education systems still reward and traditional approaches to AI automation.
04
Research themes
24
Researchers & alumni
200+
Total publications
2018
Founded in
Our mission
Augmenting how people learn
Part of UCL Knowledge Lab, University College London, we study how analytics and AI can help students learn how to learn and solve complex problems together — preparing people for a future that demands far more than routine cognitive skills.
How can AI and analytics augment the way people learn?
One question drives our work across interaction, modelling, intervention, and adoption.
What we study
Main themes of research
Four strands, from understanding human–AI interaction to embedding AI and analytics in real classrooms.
02 / Modelling
ModeLLING
Computational and statistical models of how people collaborate and regulate their learning, built from multimodal learning analytics.
Read more →03 / Intervention
INTervention
AI and Analytics-driven feedback that supports reflection and self-regulation — and its impact in real classrooms.
Read more →04 / Adoption
Adoption
The psychological and social challenges of adopting AI and analytics in educational practice.
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In the calendar
Important dates
Key conferences and submission deadlines the team is working towards.
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Join us
Interested in our research?
We're recruiting PhD students and open to new collaborations — get in touch.