HaeJin Lee

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Hello! I’m a PhD candidate in Information Sciences at the University of Illinois at Urbana-Champaign (UIUC), where I’m advised by Nigel Bosch and Jana Diesner.

I study how AI can be leveraged 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.

I approach this work through three complementary research goals:

  1. Modeling self-regulated learning in computer-based learning environments using learning analytics

  2. Designing and developing explainable AI systems to support self-regulated learning

  3. Assessing the fairness of these AI systems, particularly for underserved learners (e.g., individuals diagnosed with ADHD).

Before beginning my PhD, I earned my B.S. in Mathematics and Statistics at UIUC. Outside of research, I love walking my dog and exploring new places when I travel.

news

Sep 30, 2025 I 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!
Sep 15, 2025 My journal paper, “Calibration discrepancy predicts students’ subsequent metacognitive strategy use in computer-based learning,” has been accepted to the International Journal of Artificial Intelligence in Education!
Apr 30, 2025 Our 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 🏆

selected publications

  1. ijaied.jpg
    Calibration discrepancy predicts students’ subsequent metacognitive strategy use in computer-based learning environments
    HaeJin Lee and Nigel Bosch
    International Journal of Artificial Intelligence in Education (IJAIED), 2025
  2. chi2.png
    Learning behaviors mediate the effect of AI-powered support for metacognitive calibration on learning outcomes
    HaeJin Lee, Frank Stinar, Ruohan Zong, and 3 more authors
    Conference on Human Factors in Computing Systems (CHI), 2025
    Honorable Mention Award 🏆
  3. lak2.jpg
    XAI reveals the causes of attention deficit hyperactivity disorder (ADHD) bias in student performance prediction
    HaeJin Lee, Clara Belitz, Nidhi Nasiar, and 1 more author
    International Conference on Learning Analytics and Knowledge Conference (LAK), 2025
  4. stem.jpg
    Subtopic-specific heterogeneity in computer-based learning behaviors
    HaeJin Lee and Nigel Bosch
    International Journal of STEM Education, 2024
  5. acl.jpg
    Beyond binary gender labels: Revealing gender biases in LLMs through gender-neutral name predictions
    You Zhiwen*, HaeJin* Lee, Shubhanshu Mishra, and 4 more authors
    Workshop on Gender Bias in Natural Language Processing (GeBNLP) at the Association for Computational Linguistics (ACL), 2024
    *denotes equal contribution