Gave a talk on “Human-centered explainable AI to support metacognitive strategies in computer-based learning environments” at CSTL seminar at the Department of Educational Psychology at UIUC on Sep 30, 2025; Journal paper “Calibration discrepancy predicts students’ subsequent metacognitive strategy use in computer-based learning” accepted to the International Journal of Artificial Intelligence in Education; Paper “Learning behaviors mediate the effect of AI-powered support for metacognitive calibration on learning outcomes” received a Best Paper Honorable Mention Award at CHI 2025.
Research Experience
Modeling self-regulated learning in computer-based learning environments using learning analytics; Designing and developing explainable AI systems to support self-regulated learning; Assessing the fairness of these AI systems, particularly for underserved learners (e.g., individuals diagnosed with ADHD).
Education
PhD: Information Sciences at the University of Illinois at Urbana-Champaign (UIUC), Advisors: Nigel Bosch and Jana Diesner; B.S.: Mathematics and Statistics at UIUC.
Background
Research Interests: Leveraging AI to help people become better self-regulated learners, such as by developing the ability to think critically about their own learning process and applying metacognitive strategies. Field: Information Sciences.
Miscellany
Enjoys walking her dog and exploring new places when traveling.