publications

2025

  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
    DOI
  2. icce.jpg
    Investigating algorithmic bias in affect detectors with constructed categories of student identity
    Nidhi Nasiar, Cara Belitz, HaeJin Lee, and 6 more authors
    International Conference on Computers in Education (ICCE), 2025
    In press
    PDF
  3. 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 🏆
    DOI PDF
  4. 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
    DOI PDF
  5. aied.jpg
    Exploring student identity in adaptive learning systems through qualitative data
    Cara Belitz, HaeJin Lee, Nidhi Nasiar, and 7 more authors
    International Conference on Artificial Intelligence in Education (AIED), 2025
    DOI PDF
  6. edm.jpg
    Fairness of Bayesian knowledge tracing for math learners of different reading ability
    Frank Stinar, HaeJin Lee, Nidhi Nasiar, and 6 more authors
    International Conference on Educational Data Mining (EDM), 2025
    DOI PDF
  7. aiedworkshop.jpg
    Fair4AIED2025: First international workshop on fairness in algorithmic decision-making for education
    Clara Belitz, Nigel Bosch, Lan Jiang, and 8 more authors
    International Conference on Artificial Intelligence in Education (AIED), 2025
    AIED Workshop
    DOI PDF
  8. ploseone.jpg
    Patterns of diversity in biomedical coauthorships: An analysis across authors’ ethnicity, gender, age, and expertise
    Apratim Mishra, HaeJin Lee, Sullam Jeoung, and 2 more authors
    PLoS ONE, 2025
    DOI

2024

  1. stem.jpg
    Subtopic-specific heterogeneity in computer-based learning behaviors
    HaeJin Lee and Nigel Bosch
    International Journal of STEM Education, 2024
    DOI PDF
  2. lak24.jpg
    Hierarchical dependencies in classroom settings influence algorithmic bias metrics
    Cara Belitz, HaeJin Lee, Nidhi Nasiar, and 6 more authors
    International Conference on Learning Analytics and Knowledge Conference (LAK), 2024
    DOI PDF
  3. 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
    DOI PDF
  4. coling.jpg
    Detecting impact relevant sections in scientific research
    Maria Becker, Kanyao Han, Antonina Werthmann, and 3 more authors
    International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024
    PDF

2022

  1. edmpur.jpg
    Using machine learning explainability methods to personalize interventions for student
    Paul Hur, HaeJin Lee, Suma Bhat, and 1 more author
    International Conference on Educational Data Mining (EDM), 2022
    DOI
  2. aiedmine.jpg
    Classification of natural language descriptions for Bayesian Knowledge Tracing in Minecraft
    Sam Hum, Frank Stinar, HaeJin Lee, and 2 more authors
    International Conference on Artificial Intelligence in Education (AIED), 2022
    DOI PDF

2021

  1. edmwork.jpg
    Promoting self-regulated learning in online learning by triggering tailored interventions
    HaeJin Lee, Paul Hur, Suma Bhat, and 1 more author
    International Conference on Educational Data Mining (EDM), 2021
    EDM Workshop
    PDF