Stephen Fancsali

40 papers A 3B 28Misc 2Journal 2Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Understanding and Modeling Math Strategy Use in Intelligent Tutoring Systems. LAK Abisha Thapa Magar, Asad Uzzaman, Tali Zacks, Stephen Fancsali, Vasile Rus, April Murphy, Ethan Shafran Moltz, Steve Ritter, Deepak Venugopal
2025	B	`conf`	Fairness of Bayesian Knowledge Tracing for Math Learners of Different Reading Ability. EDM Frank Stinar, Haejin Lee, Clara Belitz, Nidhi Nasiar, Stephen Fancsali, Steve Ritter, Husni Almoubayyed, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch
2025	B	`conf`	Linguistic Features Predicting Math Word Problem Readability Among Less-Skilled Readers. EDM Kole Norberg, Husni Almoubayyed, Stephen Fancsali
2025	B	`conf`	Math Content Readability, Student Reading Ability, and Behavior Associated with Gaming the System in Adaptive Learning Software. EDM Pranjli Khanna, Kaleb Mathieu, Kole Norberg, Husni Almoubayyed, Stephen Fancsali
2025	A	`conf`	Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data. LAK Ge Gao, Amelia Leon, Andrea Jetten, Jasmine Turner, Husni Almoubayyed, Stephen Fancsali, Emma Brunskill
2025	B	`conf`	Who to Help? A Time-Slice Analysis of K-12 Teachers' Decisions in Classes with AI-Supported Tutoring. EDM Qiao Jin, Conrad Borchers, Stephen Fancsali, Vincent Aleven
2024	B	`conf`	Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? EDM Hunter McNichols, Jaewook Lee, Stephen Fancsali, Steven Ritter, Andrew S. Lan
2024	J	`jnl`	Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? CoRR Hunter McNichols, Jaewook Lee, Stephen Fancsali, Steven Ritter, Andrew S. Lan
2024	B	`conf`	Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale. L@S Emma Brunskill, Kole A. Norberg, Stephen Fancsali, Steven Ritter
2024	J	`jnl`	Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data. CoRR Ge Gao, Amelia Leon, Andrea Jetten, Jasmine Turner, Husni Almoubayyed, Stephen Fancsali, Emma Brunskill
2023	B	`conf`	Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell, Jeremy Roschelle, Ben Motz, Danielle S. McNamara, Richard G. Baraniuk, Debshila Basu Mallick, René F. Kizilcec, Ryan Baker, Stephen Fancsali, April Murphy
2023	B	`conf`	Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software. EDM Husni Almoubayyed, Stephen Fancsali, Steven Ritter
2023	—	`conf`	Towards the Future of AI-Augmented Human Tutoring in Math Learning. AIED (Posters/Late Breaking Results/...) 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
2022	B	`conf`	"Closing the Loop" in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials. EDM Stephen Fancsali, April Murphy, Steven Ritter
2022	B	`conf`	Evaluating Gaming Detector Model Robustness Over Time. EDM Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali, Stephen Hutt
2022	B	`conf`	The Third Workshop of the Learner Data Institute: Big Data, Research Challenges, \& Science Convergence in Educational Data Science. EDM Vasile Rus, Stephen Fancsali
2021	B	`conf`	Targeting Design-Loop Adaptivity. EDM Stephen Fancsali, Hao Li, Michael Sandbothe, Steven Ritter
2021	B	`conf`	Teachers' Orchestration Needs During the Shift to Remote Learning. EC-TEL LuEttaMae Lawrence, Kenneth Holstein, Susan R. Berman, Stephen Fancsali, Bruce M. McLaren, Steven Ritter, Vincent Aleven
2021	—	`conf`	The Nature of Achievement Goal Motivation Profiles: Exploring Situational Motivation in An Algebra-Focused Intelligent Tutoring System. EDM (Workshops) Leigh M. Harrell-Williams, Christian Mueller, Stephen Fancsali, Steven Ritter, Xiaofei Zhang, Deepak Venugopal
2020	—	`conf`	LiveHint: Intelligent Digital Support for Analog Learning Experiences. iTextbooks@AIED Josh Fisher, Stephen Fancsali, Amy Lewis, Victoria Fisher, Robert G. M. Hausmann, Martina Pavelko, Sandy Bartle Finocchi, Steven Ritter
2019	B	`conf`	Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations. EDM Chuankai Zhang, Yanzun Huang, Jingyu Wang, Dongyang Lu, Weiqi Fang, John C. Stamper, Stephen Fancsali, Kenneth Holstein, Vincent Aleven
2019	—	`conf`	What's a Textbook? Envisioning the 21st Century K-12 Text. iTextbooks@AIED Steven Ritter, Josh Fisher, Amy Lewis, Sandy Bartle Finocchi, Bob Hausmann, Stephen Fancsali
2018	B	`conf`	Intelligent Instructional Hand Offs. EDM Stephen Fancsali, Michael Yudelson, Susan R. Berman, Steven Ritter
2018	Misc	`conf`	Special Track on Intelligent Learning Technologies. FLAIRS Benjamin Nye, Stephen Fancsali
2016	B	`conf`	MATHia X: The Next Generation Cognitive Tutor. EDM Steven Ritter, Stephen Fancsali
2016	B	`conf`	Towards Integrating Human and Automated Tutoring Systems. EDM Steven Ritter, Michael Yudelson, Stephen Fancsali, Susan R. Berman
2015	B	`conf`	Carnegie Learning's Cognitive Tutor. EDM Steven Ritter, Stephen Fancsali
2015	B	`conf`	Confounding Carelessness? Exploring Causal Relationships Between Carelessness, Affect, Behavior, and Learning in Cognitive Tutor Algebra Using Graphical Causal Models. EDM Stephen Fancsali
2014	B	`conf`	Better Data Beats Big Data. EDM Michael Yudelson, Stephen Fancsali, Steven Ritter, Susan R. Berman, Tristan Nixon, Ambarish Joshi
2014	B	`conf`	Causal Discovery with Models: Behavior, Affect, and Learning in Cognitive Tutor Algebra. EDM Stephen Fancsali
2014	B	`conf`	Generalizing and Extending a Predictive Model for Standardized Test Scores Based On Cognitive Tutor Interactions. EDM Ambarish Joshi, Stephen Fancsali, Steven Ritter, Tristan Nixon, Susan R. Berman
2014	B	`conf`	Goal Orientation, Self-Efficacy, and "Online Measures" in Intelligent Tutoring Systems. CogSci Stephen Fancsali, Matthew L. Bernacki, Timothy J. Nokes-Malach, Michael Yudelson, Steven Ritter
2013	B	`conf`	Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing. EDM Stephen Fancsali, Tristan Nixon, Steven Ritter
2013	B	`conf`	Predicting Standardized Test Scores from Cognitive Tutor Interactions. EDM Steven Ritter, Ambarish Joshi, Stephen Fancsali, Tristan Nixon
2013	B	`conf`	The Complex Dynamics of Aggregate Learning Curves. EDM Tristan Nixon, Stephen Fancsali, Steven Ritter
2013	—	`conf`	Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring. AIED Workshops Stephen Fancsali, Steven Ritter, John C. Stamper, Tristan Nixon
2012	B	`conf`	Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results. EDM Stephen Fancsali
2011	B	`conf`	Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results. EDM Stephen Fancsali
2011	A	`conf`	Variable construction for predictive and causal modeling of online education data. LAK Stephen Fancsali
2005	Misc	`conf`	Untapped resources: can intellectual diversity promote cultural diversity in technology? Richard Tapia Celebration of Diversity in Computing Conference Stephen Fancsali, Laura McGinnis