| 2025 | AIED | Fair4AIED 2025: First International Workshop on Fairness in Algorithmic Decision-Making for Education. | Clara Belitz, Nigel Bosch, Lan Jiang, Ioana Jivet, Badmavasan Kirouchenassamy, Haejin Lee, Barbara Leporini, Francesca Maridina Malloci, Mirko Marras, Daniela Rotelli, Frank Stinar |
| 2025 | AIED | Exploring Student Identity in Adaptive Learning Systems Through Qualitative Data. | Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Frank Stinar, Husni Almoubayyed, Steven Ritter, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch |
| 2025 | AIED | Surveying Contextualized Student Data Sharing Preferences for Educational AI. | Frank Stinar, Nigel Bosch |
| 2025 | CHI | Learning Behaviors Mediate the Effect of AI-powered Support for Metacognitive Calibration on Learning Outcomes. | Haejin Lee, Frank Stinar, Ruohan Zong, Hannah Valdiviejas, Dong Wang, Nigel Bosch |
| 2025 | EDM | Applying DebiasEd: A Package for Mitigating Unfairness in Educational Data. | Jade Cock, Frank Stinar, Ren F. Kizilcec, Tanja Kser |
| 2025 | EDM | Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability. | Frank Stinar, Haejin Lee, Clara Belitz, Nidhi Nasiar, Stephen Fancsali, Steve Ritter, Husni Almoubayyed, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch |
| 2025 | IJCAI | Bidirectional Human-AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning. | Ruohan Zong, Yang Zhang, Lanyu Shang, Frank Stinar, Nigel Bosch, Dong Wang |
| 2022 | AIED | Classification of Natural Language Descriptions for Bayesian Knowledge Tracing in Minecraft. | Samuel Hum, Frank Stinar, Haejin Lee, Jeffrey Ginger, H. Chad Lane |
| 2022 | EDM | Algorithmic unfairness mitigation in student models: When fairer methods lead to unintended results. | Frank Stinar, Nigel Bosch |