Human–AI interaction
Designing interactions that make AI systems transparent and understandable, so learners can reason about what a model is doing rather than simply trusting it.
Human-Centered AI for Learning Lab
We design AI-powered learning experiences for K–12 students and educators.
Our work sits at the intersection of human-centered AI, computing education and learning technologies. We build and study systems that help young learners understand what AI is, work alongside it critically, and learn more effectively with it.
Research Areas
Intelligent learner modeling
Building models of how learners think and work, so support can adapt to what a particular student needs at a particular moment.
Collaborative learning
Analysing dialogue, behaviour and multimodal interaction to understand what makes group learning productive — and how technology can support it.
Recent news
View moreGRA position available for Fall 2027
We are recruiting PhD students as Graduate Research Assistants working at the intersection of AI, HCI and education.
Project DIALOGS Receives NSF Award
Project DIALOGS (NSF #2048480) has received a $300,000 supplemental award to further support the development and classroom integration of our conversational AI learning platform AMBY!
Projects
All projects
ExLAIM
A four-week intensive for teachers and undergraduates on generative AI, from prompt engineering to classroom ethics.
ElementaryAI
Bringing foundational AI literacy to elementary students by having them design conversational companions for their own story characters.
Project DIALOGS
Conversational AI learning experiences for middle schoolers, built around AMBY — a development environment designed for young people.
Recent publications
All publicationsWhen AI Gets It Wrong: Scaffolding AI Hallucination Detection for Children through Chatbot Creation
Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, 2026
Adaptive Scaffolding for Cognitive Engagement in an Intelligent Tutoring System
arXiv preprint arXiv:2602.07308, 2026
Adaptive Scaffolding for Cognitive Engagement in an Intelligent Tutoring System
arXiv e-prints, arXiv: 2602.07308, 2026
Join us
We are always interested in hearing from prospective graduate and undergraduate students who care about learning, equity and technology. If our work resonates with you, get in touch with a short note about your interests and background.
