Classification of Natural Language Descriptions for Bayesian Knowledge Tracing in Minecraft. - Samuel Hum; Frank Stinar; Haejin Lee; Jeffrey Ginger; H. Chad Lane (AIED (2), 2022)

Algorithmic unfairness mitigation in student models: When fairer methods lead to unintended results. - Frank Stinar; Nigel Bosch (EDM, 2022)

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 001; Ryan Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (AIED (5), 2025)

Surveying Contextualized Student Data Sharing Preferences for Educational AI. - Frank Stinar; Nigel Bosch (AIED (2), 2025)

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 002; Nigel Bosch (CHI, 2025)

Applying DebiasEd: A Package for Mitigating Unfairness in Educational Data. - Jade Cock; Frank Stinar; René F. Kizilcec; Tanja Käser (EDM, 2025)

Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability. - Frank Stinar; Haejin Lee; Clara Belitz; Nidhi Nasiar; Stephen Fancsali; Steve Ritter 001; Husni Almoubayyed; Ryan Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (EDM, 2025)