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Steven Ritter 0001
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- affiliation: Carnegie Learning Inc., Pittsburgh, PA, USA
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2020 – today
- 2024
- [c66]Clara Belitz
, Haejin Lee
Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. LAK 2024: 210-218 - [c65]Emma Brunskill
Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale. L@S 2024: 356-360 - [c64]Abisha Thapa Magar
Learning Representations for Math Strategies using BERT. L@S 2024: 514-518 - [c63]Steven Ritter
Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2024: 565-566 - [i1]Hunter McNichols, Jaewook Lee, Stephen Fancsali, Steven Ritter, Andrew S. Lan:
Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? CoRR abs/2405.06414 (2024) - 2023
- [j4]Clara Belitz
Constructing categories: Moving beyond protected classes in algorithmic fairness. J. Assoc. Inf. Sci. Technol. 74(6): 663-668 (2023) - [c62]Stephen E. Fancsali, Michael Sandbothe, Steven Ritter:
Orchestrating Classrooms and Tutoring with Carnegie Learning's MATHia and LiveLab. Human-AI Math Tutoring@AIED 2023: 1-11 - [c61]Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing:
Towards the Future of AI-Augmented Human Tutoring in Math Learning. AIED (Posters/Late Breaking Results/...) 2023: 26-31 - [c60]Kole Norberg, Husni Almoubayyed, Stephen E. Fancsali, Logan De Ley, Kyle Weldon, April Murphy, Steven Ritter:
Rewriting Math Word Problems with Large Language Models. LLM@AIED 2023: 163-172 - [c59]Husni Almoubayyed, Rae Bastoni, Susan R. Berman, Sarah Galasso, Megan Jensen, Leila Lester, April Murphy, Mark Swartz, Kyle Weldon, Stephen E. Fancsali
Rewriting Math Word Problems to Improve Learning Outcomes for Emerging Readers: A Randomized Field Trial in Carnegie Learning's MATHia. AIED (Posters/Late Breaking Results/...) 2023: 200-205 - [c58]Husni Almoubayyed, Stephen Fancsali, Steven Ritter:
Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software. EDM 2023 - [c57]Husni Almoubayyed
Instruction-Embedded Assessment for Reading Ability in Adaptive Mathematics Software. LAK 2023: 366-377 - [c56]Steven Ritter
Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2023: 254-256 - 2022
- [c55]Stephen Fancsali, April Murphy, Steven Ritter:
"Closing the Loop" in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials. EDM 2022 - [c54]Collin F. Lynch, Mirko Marras, Mykola Pechenizkiy, Anna N. Rafferty, Steven Ritter, Vinitra Swamy, Renzhe Yu:
FATED 2022: Fairness, Accountability, and Transparency in Educational Data. EDM 2022 - [c53]Steven Ritter
Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S 2022: 252-254 - 2021
- [c52]Stephen E. Fancsali
Scaffolds and Nudges: A Case Study in Learning Engineering Design Improvements. AIED (2) 2021: 441-445 - [c51]LuEttaMae Lawrence, Kenneth Holstein, Susan R. Berman, Stephen Fancsali, Bruce M. McLaren, Steven Ritter
Teachers' Orchestration Needs During the Shift to Remote Learning. EC-TEL 2021: 347-351 - [c50]Stephen E. Fancsali, Hao Li, Steven Ritter:
Toward Scalable Improvement of Large Content Portfolios for Adaptive Instruction. EDM (Workshops) 2021 - [c49]Stephen Fancsali, Hao Li, Michael Sandbothe, Steven Ritter:
Targeting Design-Loop Adaptivity. EDM 2021 - [c48]Leigh M. Harrell-Williams, Christian Mueller, Stephen Fancsali, Steven Ritter, Xiaofei Zhang, Deepak Venugopal:
The Nature of Achievement Goal Motivation Profiles: Exploring Situational Motivation in An Algebra-Focused Intelligent Tutoring System. EDM (Workshops) 2021 - [c47]Vasile Rus, Stephen E. Fancsali, Philip I. Pavlik Jr., Deepak Venugopal, Arthur C. Graesser, Steven Ritter, Dale Bowman, The L. D. I. Team:
The Learner Data Institute - Conceptualization: A Progress Report. EDM (Workshops) 2021 - [c46]Steven Ritter, Neil T. Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell:
Second Workshop on Educational A/B Testing at Scale. L@S 2021: 1-3 - 2020
- [c45]Josh Fisher, Stephen Fancsali, Amy Lewis, Victoria Fisher, Robert G. M. Hausmann, Martina Pavelko, Sandy Bartle Finocchi, Steven Ritter
LiveHint: Intelligent Digital Support for Analog Learning Experiences. iTextbooks@AIED 2020: 80-89 - [c44]Stephen E. Fancsali
Towards Practical Detection of Unproductive Struggle. AIED (2) 2020: 92-97 - [c43]Steven Ritter
Workshop Proposal: Educational A/B Testing at Scale. L@S 2020: 219-220
2010 – 2019
- 2019
- [j3]Guoguo Zheng, Stephen E. Fancsali
Using Instruction-Embedded Formative Assessment to Predict State Summative Test Scores and Achievement Levels in Mathematics. J. Learn. Anal. 6(2) (2019) - [c42]Steven Ritter
What's a Textbook? Envisioning the 21st Century K-12 Text. iTextbooks@AIED 2019: 87-94 - 2018
- [c41]Stephen Fancsali, Michael Yudelson, Susan R. Berman, Steven Ritter:
Intelligent Instructional Hand Offs. EDM 2018 - [c40]Stephen E. Fancsali, Steven Ritter
Assessments That Care About Student Learning. ITS Workshops 2018: 135-140 - [c39]Stephen E. Fancsali, Guoguo Zheng, Yanyan Tan, Steven Ritter
Using embedded formative assessment to predict state summative test scores. LAK 2018: 161-170 - 2017
- [c38]Vasile Rus, Nabin Maharjan, Lasang Jimba Tamang, Michael Yudelson, Susan R. Berman, Stephen E. Fancsali, Steven Ritter
An Analysis of Human Tutors' Actions in Tutorial Dialogues. FLAIRS 2017: 122-127 - 2016
- [j2]Steven Ritter
Plug-in Tutor Agents: Still Pluggin'. Int. J. Artif. Intell. Educ. 26(1): 405-415 (2016) - [c37]Stephen E. Fancsali, Steven Ritter, Susan R. Berman, Michael Yudelson, Vasile Rus, Donald M. Morrison:
Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere. EDM (Workshops) 2016 - [c36]Steven Ritter, Stephen Fancsali:
MATHia X: The Next Generation Cognitive Tutor. EDM 2016: 624-625 - [c35]Steven Ritter, Michael Yudelson, Stephen Fancsali, Susan R. Berman:
Towards Integrating Human and Automated Tutoring Systems. EDM 2016: 626-627 - [c34]Vasile Rus, Rajendra Banjade, Nabin Maharjan, Donald M. Morrison, Steven Ritter, Michael Yudelson:
Preliminary Results On Dialogue Act and Subact Classification in Chat-based Online Tutorial Dialogues. EDM 2016: 630-631 - [c33]Stephen E. Fancsali, Steven Ritter, Michael Yudelson, Michael Sandbothe, Susan R. Berman:
Implementation Factors and Outcomes for Intelligent Tutoring Systems: A Case Study of Time and Efficiency with Cognitive Tutor Algebra. FLAIRS 2016: 473-478 - [c32]Steven Ritter
How Mastery Learning Works at Scale. L@S 2016: 71-79 - 2015
- [c31]Mohammad Hassan Falakmasir, Michael Yudelson, Steven Ritter, Kenneth R. Koedinger:
Spectral Bayesian Knowledge Tracing. EDM 2015: 360-363 - [c30]Steven Ritter
Carnegie Learning's Cognitive Tutor. EDM 2015: 633-634 - 2014
- [c29]Stephen Fancsali, Matthew L. Bernacki, Timothy J. Nokes-Malach, Michael Yudelson, Steven Ritter:
Goal Orientation, Self-Efficacy, and "Online Measures" in Intelligent Tutoring Systems. CogSci 2014 - [c28]Ambarish Joshi, Stephen Fancsali, Steven Ritter, Tristan Nixon, Susan R. Berman:
Generalizing and Extending a Predictive Model for Standardized Test Scores Based On Cognitive Tutor Interactions. EDM 2014: 369-370 - [c27]Candace A. Walkington, Virginia Clinton, Steven Ritter, Mitchell J. Nathan, Stephen E. Fancsali:
The Impact of Cognitive and Non-Cognitive Text-Based Factors on Solving Mathematics Story Problems. EDM (Workshops) 2014 - [c26]Michael Yudelson, Stephen Fancsali, Steven Ritter, Susan R. Berman, Tristan Nixon, Ambarish Joshi:
Better Data Beats Big Data. EDM 2014: 205-208 - [c25]Stephen E. Fancsali, Steven Ritter
Context personalization, preferences, and performance in an intelligent tutoring system for middle school mathematics. LAK 2014: 73-77 - 2013
- [c24]Stephen E. Fancsali, Tristan Nixon, Annalies Vuong, Steven Ritter
Simulated Students, Mastery Learning, and Improved Learning Curves for Real-World Cognitive Tutors. AIED Workshops 2013 - [c23]Stephen Fancsali, Steven Ritter
Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring. AIED Workshops 2013 - [c22]R. Charles Murray, Steven Ritter
Revealing the Learning in Learning Curves. AIED 2013: 473-482 - [c21]Stephen Fancsali, Tristan Nixon, Steven Ritter:
Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing. EDM 2013: 35-42 - [c20]Steven Ritter, Ambarish Joshi, Stephen Fancsali, Tristan Nixon:
Predicting Standardized Test Scores from Cognitive Tutor Interactions. EDM 2013: 169-176 - [c19]Tristan Nixon, Stephen Fancsali, Steven Ritter:
The Complex Dynamics of Aggregate Learning Curves. EDM 2013: 338-339 - 2012
- [c18]John C. Stamper, Derek Lomas, Dixie Ching, Steven Ritter, Kenneth R. Koedinger, Jonathan Steinhart:
The Rise of the Super Experiment. EDM 2012: 196-200 - [c17]Steven Ritter
Using Time Pressure to Promote Mathematical Fluency. ITS 2012: 669-670 - 2011
- [c16]Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter:
Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. EDM 2011: 91-100 - 2010
- [c15]Steven Ritter
Riding the Third Wave. Intelligent Tutoring Systems (1) 2010: 4 - [c14]Daniel Dickison, Steven Ritter
Predicting the Effects of Skill Model Changes on Student Progress. Intelligent Tutoring Systems (2) 2010: 300-302 - [c13]Robert G. M. Hausmann, Steven Ritter
Incorporating Interactive Examples into the Cognitive Tutor. Intelligent Tutoring Systems (2) 2010: 446 - [c12]Steven Ritter
Research-Based Improvements in Cognitive Tutor Geometry. Intelligent Tutoring Systems (2) 2010: 452 - [c11]Steven Ritter
A Cognitive Tutor for Geometric Proof. Intelligent Tutoring Systems (2) 2010: 453
2000 – 2009
- 2009
- [j1]Stephen Blessing, Stephen B. Gilbert, Steven Ourada, Steven Ritter:
Authoring Model-Tracing Cognitive Tutors. Int. J. Artif. Intell. Educ. 19(2): 189-210 (2009) - [c10]Steven Ritter, Thomas K. Harris, Tristan Nixon, Daniel Dickison, R. Charles Murray, Brendon Towle:
Reducing the Knowledge Tracing Space. EDM 2009: 151-160 - 2007
- [c9]Stephen Blessing, Stephen B. Gilbert, Steven Ourada, Steven Ritter:
Lowering the Bar for Creating Model-Tracing Intelligent Tutoring Systems. AIED 2007: 443-450 - [c8]Steven Ritter, Jonna Kulikowich, Pui-Wa Lei, Christy L. McGuire, Pat Morgan:
What Evidence Matters? A randomized field trial of Cognitive Tutor Algebra I. ICCE 2007: 13-20 - 2006
- [c7]Stephen Blessing, Stephen B. Gilbert, Steven Ritter:
Developing an Authoring System for Cognitive Models within Commercial-Quality ITSs. FLAIRS 2006: 497-502 - 2005
- [c6]Leena M. Razzaq, Mingyu Feng, Goss Nuzzo-Jones, Neil T. Heffernan, Kenneth R. Koedinger, Brian Junker, Steven Ritter, Andrea Knight, Edwin Mercado, Terrence E. Turner, Ruta Upalekar, Jason A. Walonoski, Michael A. Macasek, Christopher Aniszczyk, Sanket Choksey, Tom Livak, Kai P. Rasmussen:
Blending Assessment and Instructional Assisting. AIED 2005: 555-562 - 2004
- [c5]Joseph Beck, Ryan Shaun Baker, Albert T. Corbett, Judy Kay, Diane J. Litman, Tanja Mitrovic, Steven Ritter:
Workshop on Analyzing Student-Tutor Interaction Logs to Improve Educational Outcomes. Intelligent Tutoring Systems 2004: 909 - 2003
- [c4]Steven Ritter
User Modeling and Problem-Space Representation in the Tutor Runtime Engine. User Modeling 2003: 333-336
1990 – 1999
- 1998
- [c3]Steven Ritter:
The Authoring Assistant. Intelligent Tutoring Systems 1998: 126-135 - [c2]Steven Ritter
Creating More Versatile Intelligent Learning Environments with a Component-Based Architecture. Intelligent Tutoring Systems 1998: 554-563 - 1996
- [c1]Steven Ritter, Stephen Bruce Blessing:
A Programming-by-demonstration Tool for Retargeting Instructional. ICLS 1996
Coauthor Index
Stephen Fancsali
aka: Stephen E. Fancsali
aka: Stephen E. Fancsali
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last updated on 2024-07-20 20:29 CEST by the dblp team
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