Stephen E. Fancsali

29 papers A 7B 4Misc 2Journal 3Unranked 13
YearRankTypeTitle / Venue / Authors
2025 A conf
"Can A Language Model Represent Math Strategies?": Learning Math Strategies from Big Data using BERT.
LAK
Abisha Thapa Magar, Anup Shakya, Stephen E. Fancsali, Vasile Rus, April Murphy, Steven Ritter, Deepak Venugopal
2025 — conf
Analyzing Strategies in MATHia with BERT.
AIED (6)
Abisha Thapa Magar, Stephen E. Fancsali, Vasile Rus, April Murphy, Steven Ritter, Deepak Venugopal
2025 — conf
Exploring Student Identity in Adaptive Learning Systems Through Qualitative Data.
AIED (5)
Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Frank Stinar, Husni Almoubayyed, Steven Ritter, Ryan Baker, Jaclyn Ocumpaugh, Nigel Bosch
2024 B conf
Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research.
L@S
Steven Ritter, Stephen E. Fancsali, April Murphy, Neil T. Heffernan, Ben Motz, Debshila Basu Mallick, Jeremy Roschelle, Danielle S. McNamara, Joseph Jay Williams
2024 A conf
Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics.
LAK
Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch
2024 A conf
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation.
LAK
Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger
2024 B conf
Learning Representations for Math Strategies using BERT.
L@S
Abisha Thapa Magar, Stephen E. Fancsali, Vasile Rus, April Murphy, Steven Ritter, Deepak Venugopal
2024 B conf
Replicating an "Astonishing Regularity in Student Learning Rate".
EDM
Mary Ann Simpson, Kole A. Norberg, Stephen E. Fancsali
2023 J jnl
Constructing categories: Moving beyond protected classes in algorithmic fairness.
J. Assoc. Inf. Sci. Technol.
Clara Belitz, Jaclyn Ocumpaugh, Steven Ritter, Ryan S. Baker, Stephen E. Fancsali, Nigel Bosch
2023 J jnl
Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation.
CoRR
Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung, Shivang Gupta, Kole Norberg, Stephen E. Fancsali, Vincent Aleven, Lee G. Branstetter, Emma Brunskill, Kenneth R. Koedinger
2023 A conf
Instruction-Embedded Assessment for Reading Ability in Adaptive Mathematics Software.
LAK
Husni Almoubayyed, Stephen E. Fancsali, Steven Ritter
2023 — conf
Orchestrating Classrooms and Tutoring with Carnegie Learning's MATHia and LiveLab.
Human-AI Math Tutoring@AIED
Stephen E. Fancsali, Michael Sandbothe, Steven Ritter
2023 — conf
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/...)
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
2023 — conf
Rewriting Math Word Problems with Large Language Models.
LLM@AIED
Kole Norberg, Husni Almoubayyed, Stephen E. Fancsali, Logan De Ley, Kyle Weldon, April Murphy, Steven Ritter
2021 — conf
Scaffolds and Nudges: A Case Study in Learning Engineering Design Improvements.
AIED (2)
Stephen E. Fancsali, Martina Pavelko, Josh Fisher, Leslie Wheeler, Steven Ritter
2021 — conf
The Learner Data Institute - Conceptualization: A Progress Report.
EDM (Workshops)
Vasile Rus, Stephen E. Fancsali, Philip I. Pavlik Jr., Deepak Venugopal, Arthur C. Graesser, Steven Ritter, Dale Bowman, The LDI Team
2021 — conf
Toward Scalable Improvement of Large Content Portfolios for Adaptive Instruction.
EDM (Workshops)
Stephen E. Fancsali, Hao Li, Steven Ritter
2020 — conf
Towards Practical Detection of Unproductive Struggle.
AIED (2)
Stephen E. Fancsali, Kenneth Holstein, Michael Sandbothe, Steven Ritter, Bruce M. McLaren, Vincent Aleven
2019 J jnl
Using Instruction-Embedded Formative Assessment to Predict State Summative Test Scores and Achievement Levels in Mathematics.
J. Learn. Anal.
Guoguo Zheng, Stephen E. Fancsali, Steven Ritter, Susan R. Berman
2018 — conf
Assessments That Care About Student Learning.
ITS Workshops
Stephen E. Fancsali, Steven Ritter
2018 A conf
Using embedded formative assessment to predict state summative test scores.
LAK
Stephen E. Fancsali, Guoguo Zheng, Yanyan Tan, Steven Ritter, Susan R. Berman, April Galyardt
2017 Misc conf
An Analysis of Human Tutors' Actions in Tutorial Dialogues.
FLAIRS
Vasile Rus, Nabin Maharjan, Lasang Jimba Tamang, Michael Yudelson, Susan R. Berman, Stephen E. Fancsali, Steven Ritter
2016 B conf
How Mastery Learning Works at Scale.
L@S
Steven Ritter, Michael Yudelson, Stephen E. Fancsali, Susan R. Berman
2016 Misc conf
Implementation Factors and Outcomes for Intelligent Tutoring Systems: A Case Study of Time and Efficiency with Cognitive Tutor Algebra.
FLAIRS
Stephen E. Fancsali, Steven Ritter, Michael Yudelson, Michael Sandbothe, Susan R. Berman
2016 — conf
Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere.
EDM (Workshops)
Stephen E. Fancsali, Steven Ritter, Susan R. Berman, Michael Yudelson, Vasile Rus, Donald M. Morrison
2014 A conf
Context personalization, preferences, and performance in an intelligent tutoring system for middle school mathematics.
LAK
Stephen E. Fancsali, Steven Ritter
2014 — conf
The Impact of Cognitive and Non-Cognitive Text-Based Factors on Solving Mathematics Story Problems.
EDM (Workshops)
Candace A. Walkington, Virginia Clinton, Steven Ritter, Mitchell J. Nathan, Stephen E. Fancsali
2013 A conf
Revealing the Learning in Learning Curves.
AIED
R. Charles Murray, Steven Ritter, Tristan Nixon, Ryan Schwiebert, Robert G. M. Hausmann, Brendon Towle, Stephen E. Fancsali, Annalies Vuong
2013 — conf
Simulated Students, Mastery Learning, and Improved Learning Curves for Real-World Cognitive Tutors.
AIED Workshops
Stephen E. Fancsali, Tristan Nixon, Annalies Vuong, Steven Ritter