publications

2026

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    Teacher Characteristics Shape Engagement and Outcomes in Online Professional Learning Environments
    HaeJin Lee, Amos Jeng, Sarah Burns, and 8 more authors
    International Conference on Learning Analytics and Knowledge Conference (LAK), 2026
    In press
    DOI

2025

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    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
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    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
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    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
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    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
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    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
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    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
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    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
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    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

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    Subtopic-specific heterogeneity in computer-based learning behaviors
    HaeJin Lee and Nigel Bosch
    International Journal of STEM Education, 2024
    DOI PDF
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    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
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    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
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    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

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    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
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    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

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    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