We are an interdisciplinary research group situated at the intersection of in Human-Computer Interaction (HCI), the Learning Sciences, and Cognitive Science/Psychology. Our mission is to advance the understanding of how people learn and to design/engineer advanced technologies that support the human learning process through deep partnerships with education stakeholders.
We focus on Learning to Adapt (defined broadly) by enhancing students’ adaptive expertise and self-regulated learning behaviors. By analyzing the computational traces of students’ decision making, for instance, we design environments that prepare learners for the complexities of learning in STEM/MINT domains.
Simultaneously, we focus on Learning with Agency by engineering technology that respects the autonomy of students and teachers. Using human-centered and participatory design reserch with education stakeholders, we aim to foster autonomous learners who can make informed, critical decisions in the age of AI.
Active projects in the lab
Using LLMs for tutoring poses several critical risks — most notably, hallucinations. But what if we leverage the feeling of uncertainty around whether and how […]
Learning math can be challenging, boring, or perhaps scary. Traditional intelligent tutors offer cognitive support, but they don’t provide sufficient support that addresses students’ anxiety […]
Updates from the lab
Our Humboldt postdoc Bingyi has won the university’s internal funding to support her socratic conversational agent project!
Our “Intelligent Systems and Human Learning” lecture won the Busy Beaver Award (outstanding teaching award)! Our “Living AI-ducation Dashboard” seminar was also nominated for the […]
Bingyi’s CHI26 paper, which she worked on with her Melbourne colleagues, received the Best Paper Award! Congratulations!!!
Nina Quach, Ahana Ghosh, Man Su, Liina Malva, Danial Hooshyar, Tomohiro Nagashima, and Adish Singla
ISSEP2026
We have 1 open position. We are looking for curious, rigorous, and driven researchers.
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