A Programming-by-demonstration Tool for Retargeting Instructional. - Steven Ritter 001; Stephen Bruce Blessing (ICLS, 1996)

The Authoring Assistant. - Steven Ritter 001 (Intelligent Tutoring Systems, 1998)

Creating More Versatile Intelligent Learning Environments with a Component-Based Architecture. - Steven Ritter 001; Peter Brusilovsky; Olga Medvedeva (Intelligent Tutoring Systems, 1998)

User Modeling and Problem-Space Representation in the Tutor Runtime Engine. - Steven Ritter 001; Stephen Blessing; Leslie Wheeler (User Modeling, 2003)

Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes. - Joseph Beck 001; Ryan Shaun Baker; Albert T. Corbett; Judy Kay; Diane J. Litman; Tanja Mitrovic; Steven Ritter 001 (Intelligent Tutoring Systems, 2004)

Blending Assessment and Instructional Assisting. - Leena M. Razzaq; Mingyu Feng; Goss Nuzzo-Jones; Neil T. Heffernan; Kenneth R. Koedinger; Brian Junker; Steven Ritter 001; Andrea Knight; Edwin Mercado; Terrence E. Turner; Ruta Upalekar; Jason A. Walonoski; et al. (AIED, 2005)

Developing an Authoring System for Cognitive Models within Commercial-Quality ITSs. - Stephen Blessing; Stephen B. Gilbert; Steven Ritter 001 (FLAIRS, 2006)

Lowering the Bar for Creating Model-Tracing Intelligent Tutoring Systems. - Stephen Blessing; Stephen B. Gilbert; Steven Ourada; Steven Ritter 001 (AIED, 2007)

What Evidence Matters? A randomized field trial of Cognitive Tutor Algebra I. - Steven Ritter 001; Jonna Kulikowich; Pui-Wa Lei; Christy L. McGuire; Pat Morgan (ICCE, 2007)

Reducing the Knowledge Tracing Space. - Steven Ritter 001; Thomas K. Harris; Tristan Nixon; Daniel Dickison; R. Charles Murray; Brendon Towle (EDM, 2009)

Authoring Model-Tracing Cognitive Tutors. - Stephen Blessing; Stephen B. Gilbert; Steven Ourada; Steven Ritter 001 (Int. J. Artif. Intell. Educ., 2009)

Predicting the Effects of Skill Model Changes on Student Progress. - Daniel Dickison; Steven Ritter 001; Tristan Nixon; Thomas K. Harris; Brendon Towle; R. Charles Murray; Robert G. M. Hausmann (Intelligent Tutoring Systems (2), 2010)

Incorporating Interactive Examples into the Cognitive Tutor. - Robert G. M. Hausmann; Steven Ritter 001; Brendon Towle; R. Charles Murray; John Connelly (Intelligent Tutoring Systems (2), 2010)

Riding the Third Wave. - Steven Ritter 001 (Intelligent Tutoring Systems (1), 2010)

Research-Based Improvements in Cognitive Tutor Geometry. - Steven Ritter 001; Brendon Towle; R. Charles Murray; Robert G. M. Hausmann; John Connelly (Intelligent Tutoring Systems (2), 2010)

A Cognitive Tutor for Geometric Proof. - Steven Ritter 001; Brendon Towle; R. Charles Murray; Robert G. M. Hausmann; John Connelly (Intelligent Tutoring Systems (2), 2010)

Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. - Kenneth R. Koedinger; Philip I. Pavlik Jr.; John C. Stamper; Tristan Nixon; Steven Ritter 001 (EDM, 2011)

The Rise of the Super Experiment. - John C. Stamper; Derek Lomas; Dixie Ching; Steven Ritter 001; Kenneth R. Koedinger; Jonathan Steinhart (EDM, 2012)

Using Time Pressure to Promote Mathematical Fluency. - Steven Ritter 001; Tristan Nixon; Derek Lomas; John C. Stamper; Dixie Ching (ITS, 2012)

Simulated Students, Mastery Learning, and Improved Learning Curves for Real-World Cognitive Tutors. - Stephen E. Fancsali; Tristan Nixon; Annalies Vuong; Steven Ritter 001 (AIED Workshops, 2013)

Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring. - Stephen Fancsali; Steven Ritter 001; John C. Stamper; Tristan Nixon (AIED Workshops, 2013)

Revealing the Learning in Learning Curves. - R. Charles Murray; Steven Ritter 001; Tristan Nixon; Ryan Schwiebert; Robert G. M. Hausmann; Brendon Towle; Stephen E. Fancsali; Annalies Vuong (AIED, 2013)

Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing. - Stephen Fancsali; Tristan Nixon; Steven Ritter 001 (EDM, 2013)

The Complex Dynamics of Aggregate Learning Curves. - Tristan Nixon; Stephen Fancsali; Steven Ritter 001 (EDM, 2013)

Predicting Standardized Test Scores from Cognitive Tutor Interactions. - Steven Ritter 001; Ambarish Joshi; Stephen Fancsali; Tristan Nixon (EDM, 2013)

Goal Orientation, Self-Efficacy, and "Online Measures" in Intelligent Tutoring Systems. - Stephen Fancsali; Matthew L. Bernacki; Timothy J. Nokes-Malach; Michael Yudelson; Steven Ritter 001 (CogSci, 2014)

Generalizing and Extending a Predictive Model for Standardized Test Scores Based On Cognitive Tutor Interactions. - Ambarish Joshi; Stephen Fancsali; Steven Ritter 001; Tristan Nixon; Susan R. Berman (EDM, 2014)

The Impact of Cognitive and Non-Cognitive Text-Based Factors on Solving Mathematics Story Problems. - Candace A. Walkington; Virginia Clinton; Steven Ritter 001; Mitchell J. Nathan; Stephen E. Fancsali (EDM (Workshops), 2014)

Better Data Beats Big Data. - Michael Yudelson; Stephen Fancsali; Steven Ritter 001; Susan R. Berman; Tristan Nixon; Ambarish Joshi (EDM, 2014)

Context personalization, preferences, and performance in an intelligent tutoring system for middle school mathematics. - Stephen E. Fancsali; Steven Ritter 001 (LAK, 2014)

Spectral Bayesian Knowledge Tracing. - Mohammad Hassan Falakmasir; Michael Yudelson; Steven Ritter 001; Kenneth R. Koedinger (EDM, 2015)

Carnegie Learning's Cognitive Tutor. - Steven Ritter 001; Stephen Fancsali (EDM, 2015)

Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere. - Stephen E. Fancsali; Steven Ritter 001; Susan R. Berman; Michael Yudelson; Vasile Rus; Donald M. Morrison (EDM (Workshops), 2016)

MATHia X: The Next Generation Cognitive Tutor. - Steven Ritter 001; Stephen Fancsali (EDM, 2016)

Towards Integrating Human and Automated Tutoring Systems. - Steven Ritter 001; Michael Yudelson; Stephen Fancsali; Susan R. Berman (EDM, 2016)

Preliminary Results On Dialogue Act and Subact Classification in Chat-based Online Tutorial Dialogues. - Vasile Rus; Rajendra Banjade; Nabin Maharjan; Donald M. Morrison; Steven Ritter 001; Michael Yudelson (EDM, 2016)

Implementation Factors and Outcomes for Intelligent Tutoring Systems: A Case Study of Time and Efficiency with Cognitive Tutor Algebra. - Stephen E. Fancsali; Steven Ritter 001; Michael Yudelson; Michael Sandbothe; Susan R. Berman (FLAIRS, 2016)

How Mastery Learning Works at Scale. - Steven Ritter 001; Michael Yudelson; Stephen E. Fancsali; Susan R. Berman (L@S, 2016)

Plug-in Tutor Agents: Still Pluggin'. - Steven Ritter 001 (Int. J. Artif. Intell. Educ., 2016)

An Analysis of Human Tutors' Actions in Tutorial Dialogues. - Vasile Rus; Nabin Maharjan; Lasang Jimba Tamang; Michael Yudelson; Susan R. Berman; Stephen E. Fancsali; Steven Ritter 001 (FLAIRS, 2017)

Intelligent Instructional Hand Offs. - Stephen Fancsali; Michael Yudelson; Susan R. Berman; Steven Ritter 001 (EDM, 2018)

Assessments That Care About Student Learning. - Stephen E. Fancsali; Steven Ritter 001 (ITS Workshops, 2018)

Using embedded formative assessment to predict state summative test scores. - Stephen E. Fancsali; Guoguo Zheng; Yanyan Tan; Steven Ritter 001; Susan R. Berman; April Galyardt (LAK, 2018)

What's a Textbook? Envisioning the 21st Century K-12 Text. - Steven Ritter 001; Josh Fisher; Amy Lewis; Sandy Bartle Finocchi; Bob Hausmann; Stephen Fancsali (iTextbooks@AIED, 2019)

Using Instruction-Embedded Formative Assessment to Predict State Summative Test Scores and Achievement Levels in Mathematics. - Guoguo Zheng; Stephen E. Fancsali; Steven Ritter 001; Susan R. Berman (J. Learn. Anal., 2019)

Towards Practical Detection of Unproductive Struggle. - Stephen E. Fancsali; Kenneth Holstein; Michael Sandbothe; Steven Ritter 001; Bruce M. McLaren; Vincent Aleven (AIED (2), 2020)

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 001 (iTextbooks@AIED, 2020)

Workshop Proposal: Educational A/B Testing at Scale. - Steven Ritter 001; Neil T. Heffernan; Joseph Jay Williams; Burr Settles; Phillip Grimaldi; Derek Lomas (L@S, 2020)

Scaffolds and Nudges: A Case Study in Learning Engineering Design Improvements. - Stephen E. Fancsali; Martina Pavelko; Josh Fisher; Leslie Wheeler; Steven Ritter 001 (AIED (2), 2021)

Teachers' Orchestration Needs During the Shift to Remote Learning. - LuEttaMae Lawrence; Kenneth Holstein; Susan R. Berman; Stephen Fancsali; Bruce M. McLaren; Steven Ritter 001; Vincent Aleven (EC-TEL, 2021)

Toward Scalable Improvement of Large Content Portfolios for Adaptive Instruction. - Stephen E. Fancsali; Hao Li; Steven Ritter 001 (EDM (Workshops), 2021)

Targeting Design-Loop Adaptivity. - Stephen Fancsali; Hao Li; Michael Sandbothe; Steven Ritter 001 (EDM, 2021)

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 001; Xiaofei Zhang 002; Deepak Venugopal (EDM (Workshops), 2021)

The Learner Data Institute - Conceptualization: A Progress Report. - Vasile Rus; Stephen E. Fancsali; Philip I. Pavlik Jr.; Deepak Venugopal; Arthur C. Graesser; Steven Ritter 001; Dale Bowman; The L. D. I. Team (EDM (Workshops), 2021)

Second Workshop on Educational A/B Testing at Scale. - Steven Ritter 001; Neil T. Heffernan; Joseph Jay Williams; Derek Lomas; Klinton Bicknell (L@S, 2021)

"Closing the Loop" in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials. - Stephen Fancsali; April Murphy; Steven Ritter 001 (EDM, 2022)

FATED 2022: Fairness, Accountability, and Transparency in Educational Data. - Collin F. Lynch; Mirko Marras; Mykola Pechenizkiy; Anna N. Rafferty; Steven Ritter 001; Vinitra Swamy; Renzhe Yu (EDM, 2022)

Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. - Steven Ritter 001; Neil T. Heffernan; Joseph Jay Williams; Derek Lomas; Ben Motz; Debshila Basu Mallick; Klinton Bicknell; Danielle S. McNamara; René F. Kizilcec; Jeremy Roschelle; Richard G. Baraniuk; Ryan Baker 001 (L@S, 2022)

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 001; Danielle R. Thomas; Simon Woodhead 002; et al. (AIED (Posters/Late Breaking Results/...), 2023)

Rewriting Math Word Problems to Improve Learning Outcomes for Emerging Readers: A Randomized Field Trial in Carnegie Learning's MATHia. - Husni Almoubayyed; Rae Bastoni; Susan R. Berman; Sarah Galasso; Megan Jensen; Leila Lester; April Murphy; Mark Swartz; Kyle Weldon; Stephen E. Fancsali; Jess Gropen; Steven Ritter 001 (AIED (Posters/Late Breaking Results/...), 2023)

Orchestrating Classrooms and Tutoring with Carnegie Learning's MATHia and LiveLab. - Stephen E. Fancsali; Michael Sandbothe; Steven Ritter 001 (Human-AI Math Tutoring@AIED, 2023)

Rewriting Math Word Problems with Large Language Models. - Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali; Logan De Ley; Kyle Weldon; April Murphy; Steven Ritter 001 (LLM@AIED, 2023)

Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software. - Husni Almoubayyed; Stephen Fancsali; Steven Ritter 001 (EDM, 2023)

Instruction-Embedded Assessment for Reading Ability in Adaptive Mathematics Software. - Husni Almoubayyed; Stephen E. Fancsali; Steven Ritter 001 (LAK, 2023)

Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. - Steven Ritter 001; 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 001; et al. (L@S, 2023)

Constructing categories: Moving beyond protected classes in algorithmic fairness. - Clara Belitz; Jaclyn Ocumpaugh; Steven Ritter 001; Ryan S. Baker 001; Stephen E. Fancsali; Nigel Bosch (J. Assoc. Inf. Sci. Technol., 2023)

Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? - Hunter McNichols; Jaewook Lee 006; Stephen Fancsali; Steven Ritter 001; Andrew S. Lan (EDM, 2024)

Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. - Clara Belitz; Haejin Lee; Nidhi Nasiar; Stephen E. Fancsali; Steven Ritter 001; Husni Almoubayyed; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch (LAK, 2024)

Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. - Steven Ritter 001; Stephen E. Fancsali; April Murphy; Neil T. Heffernan; Ben Motz; Debshila Basu Mallick; Jeremy Roschelle; Danielle S. McNamara; Joseph Jay Williams (L@S, 2024)

Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale. - Emma Brunskill; Kole A. Norberg; Stephen Fancsali; Steven Ritter 001 (L@S, 2024)

Learning Representations for Math Strategies using BERT. - Abisha Thapa Magar; Stephen E. Fancsali; Vasile Rus; April Murphy; Steven Ritter 001; Deepak Venugopal (L@S, 2024)

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)

Analyzing Strategies in MATHia with BERT. - Abisha Thapa Magar; Stephen E. Fancsali; Vasile Rus; April Murphy; Steven Ritter 001; Deepak Venugopal (AIED (6), 2025)

Using Generative AI to Foster Student Sense of Belonging in Mathematics. - Kole Norberg; April Murphy; Logan De Ley; Ethan Shafran Moltz; Husni Almoubayyed; Steven Ritter 001 (AIED (6), 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)

"Can A Language Model Represent Math Strategies?": Learning Math Strategies from Big Data using BERT. - Abisha Thapa Magar; Anup Shakya; Stephen E. Fancsali; Vasile Rus; April Murphy; Steven Ritter 001; Deepak Venugopal (LAK, 2025)

Rewriting Content with GPT-4 to Support Emerging Readers in Adaptive Mathematics Software. - Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter 001 (Int. J. Artif. Intell. Educ., 2025)