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
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Dr. Tian receives the Carla Salvage Award
Dr. Xiaoyi Tian received 2026 Carla Salvage Award of Most Awesome Visiting or Research Scholar in the Department of Computer Science, North Carolina State University!
GRA position available for Fall 2027
We are recruiting PhD students as Graduate Research Assistants working at the intersection of AI, HCI and education.
Projects
All projects
ExLAIM
A four-week intensive for teachers and undergraduates on generative AI, from prompt engineering to classroom ethics.
CORAL
CORAL (Co-Design Robots for AI Literacy) empowers elementary school children to design and program social robots that engage older adults in meaningful activities, fostering children's AI literacy, computational thinking, and intergenerational connections.
BotBuilder
A no-code environment where teachers and students design their own LLM chatbots using prompts, with features that help learners spot and address hallucinations.
Recent publications
All publicationsGrowing Up (and Old) with AI: Co-Constructing the Future for Family-Centered AI
Proceedings of the 2026 Companion of the Computer-Supported Cooperative Work and Social Computing,
If My Toy Could Talk: How Young Children Imagine, Design, and Test AI-Enabled Toys
arXiv preprint arXiv:2610.06619,
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.
