publications

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2025

  1. An introduction to the Item Response Warehouse (IRW): A resource for enhancing data usage in psychometrics
    Benjamin W Domingue, Mika Braginsky, Lucy Caffrey-Maffei, Joshua B Gilbert, Klint Kanopka, Radhika Kapoor, Hansol Lee, Yiqing Liu, Savira Nadela, Guanzhong Pan, Lijin Zhang, Susu Zhang, and Michael C Frank
    Behavior Research Methods, 2025
  2. Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time
    Hansol Lee, Jason B Cho, David S Matteson, and Benjamin Domingue
    In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Full Papers, 2025

2024

  1. Is a seat at the table enough? Engaging teachers and students in dataset specification for ml in education
    Mei Tan, Hansol Lee, Dakuo Wang, and Hari Subramonyam
    Proceedings of the ACM on Human-Computer Interaction, 2024

2023

  1. Evaluating a learned admission-prediction model as a replacement for standardized tests in college admissions
    Hansol Lee, René F Kizilcec, and Thorsten Joachims
    In Proceedings of the tenth acm conference on learning@ scale, 2023
    Best Paper

2022

  1. Algorithmic fairness in education
    René F Kizilcec and Hansol Lee
    In The ethics of artificial intelligence in education, 2022

2021

  1. Should college dropout prediction models include protected attributes?
    Renzhe Yu, Hansol Lee, and René F Kizilcec
    In Proceedings of the eighth ACM conference on learning@ scale, 2021
    Best Paper Honorable Mention
  2. My bad! repairing intelligent voice assistant errors improves interaction
    Andrea Cuadra, Shuran Li, Hansol Lee, Jason Cho, and Wendy Ju
    Proceedings of the ACM on Human-Computer Interaction, 2021
  3. Look at me when I talk to you: a video dataset to enable voice assistants to recognize errors
    Andrea Cuadra, Hansol Lee, Jason Cho, and Wendy Ju
    arXiv preprint arXiv:2104.07153, 2021

2020

  1. Evaluation of fairness trade-offs in predicting student success
    Hansol Lee and René F Kizilcec
    FATED (Fairness, Accountability, and Transparency in Educational Data) Workshop at EDM 2020, 2020