| 2026 | AIED | Modality Matters: How Text, Audio, and Video Interactions Shape Student Engagement and Performance with AI Tutors in 6-8 Mathematics. | Tyree S. Cowell, Kole Norberg, Rae Bastoni, Unekwu-Ojo Shaibu, April Murphy, Stephen Fancsali, Steve Ritter, Husni Almoubayyed |
| 2026 | LAK | Understanding and Modeling Math Strategy Use in Intelligent Tutoring Systems. | Abisha Thapa Magar, Asad Uzzaman, Tali Zacks, Stephen Fancsali, Vasile Rus, April Murphy, Ethan Shafran Moltz, Steve Ritter, Deepak Venugopal |
| 2025 | EDM | Who to Help? A Time-Slice Analysis of K-12 Teachers' Decisions in Classes with AI-Supported Tutoring. | Qiao Jin, Conrad Borchers, Stephen Fancsali, Vincent Aleven |
| 2025 | EDM | Math Content Readability, Student Reading Ability, and Behavior Associated with Gaming the System in Adaptive Learning Software. | Pranjli Khanna, Kaleb Mathieu, Kole Norberg, Husni Almoubayyed, Stephen Fancsali |
| 2025 | EDM | Linguistic Features Predicting Math Word Problem Readability Among Less-Skilled Readers. | Kole Norberg, Husni Almoubayyed, Stephen Fancsali |
| 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 | LAK | Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data. | Ge Gao, Amelia Leon, Andrea Jetten, Jasmine Turner, Husni Almoubayyed, Stephen Fancsali, Emma Brunskill |
| 2024 | EDM | Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? | Hunter McNichols, Jaewook Lee, Stephen Fancsali, Steven Ritter, Andrew S. Lan |
| 2023 | AIED | Towards the Future of AI-Augmented Human Tutoring in Math Learning. | Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott A. Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing |
| 2023 | EDM | Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software. | Husni Almoubayyed, Stephen Fancsali, Steven Ritter |
| 2022 | EDM | "Closing the Loop" in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials. | Stephen Fancsali, April Murphy, Steven Ritter |
| 2022 | EDM | Evaluating Gaming Detector Model Robustness Over Time. | Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali, Stephen Hutt |
| 2022 | EDM | The Third Workshop of the Learner Data Institute: Big Data, Research Challenges, \& Science Convergence in Educational Data Science. | Vasile Rus, Stephen Fancsali |
| 2021 | EDM | Targeting Design-Loop Adaptivity. | Stephen Fancsali, Hao Li, Michael Sandbothe, Steven Ritter |
| 2021 | EDM | The Nature of Achievement Goal Motivation Profiles: Exploring Situational Motivation in An Algebra-Focused Intelligent Tutoring System. | Leigh M. Harrell-Williams, Christian Mueller, Stephen Fancsali, Steven Ritter, Xiaofei Zhang, Deepak Venugopal |
| 2020 | AIED | LiveHint: Intelligent Digital Support for Analog Learning Experiences. | Josh Fisher, Stephen Fancsali, Amy Lewis, Victoria Fisher, Robert G. M. Hausmann, Martina Pavelko, Sandy Bartle Finocchi, Steven Ritter |
| 2019 | AIED | What's a Textbook? Envisioning the 21st Century K-12 Text. | Steven Ritter, Josh Fisher, Amy Lewis, Sandy Bartle Finocchi, Bob Hausmann, Stephen Fancsali |
| 2019 | EDM | Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations. | Chuankai Zhang, Yanzun Huang, Jingyu Wang, Dongyang Lu, Weiqi Fang, John C. Stamper, Stephen Fancsali, Kenneth Holstein, Vincent Aleven |
| 2018 | EDM | Intelligent Instructional Hand Offs. | Stephen Fancsali, Michael Yudelson, Susan R. Berman, Steven Ritter |
| 2018 | FlAIRS | Special Track on Intelligent Learning Technologies. | Benjamin Nye, Stephen Fancsali |
| 2016 | EDM | MATHia X: The Next Generation Cognitive Tutor. | Steven Ritter, Stephen Fancsali |
| 2016 | EDM | Towards Integrating Human and Automated Tutoring Systems. | Steven Ritter, Michael Yudelson, Stephen Fancsali, Susan R. Berman |
| 2015 | EDM | Confounding Carelessness? Exploring Causal Relationships Between Carelessness, Affect, Behavior, and Learning in Cognitive Tutor Algebra Using Graphical Causal Models. | Stephen Fancsali |
| 2015 | EDM | Carnegie Learning's Cognitive Tutor. | Steven Ritter, Stephen Fancsali |
| 2014 | CogSci | Goal Orientation, Self-Efficacy, and "Online Measures" in Intelligent Tutoring Systems. | Stephen Fancsali, Matthew L. Bernacki, Timothy J. Nokes-Malach, Michael Yudelson, Steven Ritter |
| 2014 | EDM | Causal Discovery with Models: Behavior, Affect, and Learning in Cognitive Tutor Algebra. | Stephen Fancsali |
| 2014 | EDM | Generalizing and Extending a Predictive Model for Standardized Test Scores Based On Cognitive Tutor Interactions. | Ambarish Joshi, Stephen Fancsali, Steven Ritter, Tristan Nixon, Susan R. Berman |
| 2014 | EDM | Better Data Beats Big Data. | Michael Yudelson, Stephen Fancsali, Steven Ritter, Susan R. Berman, Tristan Nixon, Ambarish Joshi |
| 2013 | AIED | Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring. | Stephen Fancsali, Steven Ritter, John C. Stamper, Tristan Nixon |
| 2013 | EDM | Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing. | Stephen Fancsali, Tristan Nixon, Steven Ritter |
| 2013 | EDM | The Complex Dynamics of Aggregate Learning Curves. | Tristan Nixon, Stephen Fancsali, Steven Ritter |
| 2013 | EDM | Predicting Standardized Test Scores from Cognitive Tutor Interactions. | Steven Ritter, Ambarish Joshi, Stephen Fancsali, Tristan Nixon |
| 2012 | EDM | Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results. | Stephen Fancsali |
| 2011 | EDM | Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results. | Stephen Fancsali |
| 2011 | LAK | Variable construction for predictive and causal modeling of online education data. | Stephen Fancsali |
| 2005 | Tapia | Untapped resources: can intellectual diversity promote cultural diversity in technology? | Stephen Fancsali, Laura McGinnis |