Algorithmic Fairness in Education RF Kizilcec, H Lee The Ethics of Artificial Intelligence in Education, 2022 | 152 | 2022 |
Should college dropout prediction models include protected attributes? R Yu, H Lee, RF Kizilcec Proceedings of the eighth ACM conference on learning@ scale, 91-100, 2021 | 79 | 2021 |
My bad! repairing intelligent voice assistant errors improves interaction A Cuadra, S Li, H Lee, J Cho, W Ju Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-24, 2021 | 43 | 2021 |
Evaluation of fairness trade-offs in predicting student success H Lee, RF Kizilcec FATED (Fairness, Accountability, and Transparency in Educational Data …, 2020 | 30 | 2020 |
Look at Me When I Talk to You: A Video Dataset to Enable Voice Assistants to Recognize Errors A Cuadra, H Lee, J Cho, W Ju arXiv preprint arXiv:2104.07153, 2021 | 7 | 2021 |
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education M Tan, H Lee, D Wang, H Subramonyam arXiv preprint arXiv:2311.05792, 2023 | 2 | 2023 |
Evaluating a Learned Admission-Prediction Model as a Replacement for Standardized Tests in College Admissions H Lee, T Joachims, RF Kizilcec L@S '23: Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023 | 1 | 2023 |