Stephen Fancsali

According to our database, Stephen Fancsali authored at least 52 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation.

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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics.

Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

2023

Constructing categories: Moving beyond protected classes in algorithmic fairness.

Clara Belitz, Jaclyn Ocumpaugh, Steven Ritter, Ryan S. Baker, Stephen E. Fancsali, Nigel Bosch

J. Assoc. Inf. Sci. Technol., June, 2023

Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research.

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

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Instruction-Embedded Assessment for Reading Ability in Adaptive Mathematics Software.

Husni Almoubayyed, Stephen E. Fancsali, Steven Ritter

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software.

Husni Almoubayyed, Stephen Fancsali, Steven Ritter

Proceedings of the 16th International Conference on Educational Data Mining, 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

Proceedings of the Workshop on Empowering Education with LLMs, 2023

Orchestrating Classrooms and Tutoring with Carnegie Learning's MATHia and LiveLab.

Stephen E. Fancsali, Michael Sandbothe, Steven Ritter

Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 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

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Towards the Future of AI-Augmented Human Tutoring in Math Learning.

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

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

The Third Workshop of the Learner Data Institute: Big Data, Research Challenges, \& Science Convergence in Educational Data Science.

Vasile Rus, Stephen Fancsali

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Evaluating Gaming Detector Model Robustness Over Time.

Nathan Levin, Ryan Baker, Nidhi Nasiar, Stephen Fancsali, Stephen Hutt

Proceedings of the 15th International Conference on Educational Data Mining, 2022

"Closing the Loop" in Educational Data Science with an Open Source Architecture for Large-Scale Field Trials.

Stephen Fancsali, April Murphy, Steven Ritter

Proceedings of the 15th International Conference on Educational Data Mining, 2022

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, Dale Bowman, The L. D. I. Team

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 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, Xiaofei Zhang, Deepak Venugopal

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

Targeting Design-Loop Adaptivity.

Stephen Fancsali, Hao Li, Michael Sandbothe, Steven Ritter

Proceedings of the 14th International Conference on Educational Data Mining, 2021

Toward Scalable Improvement of Large Content Portfolios for Adaptive Instruction.

Stephen E. Fancsali, Hao Li, Steven Ritter

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

Teachers' Orchestration Needs During the Shift to Remote Learning.

LuEttaMae Lawrence, Kenneth Holstein, Susan R. Berman, Stephen Fancsali, Bruce M. McLaren, Steven Ritter, Vincent Aleven

Proceedings of the Technology-Enhanced Learning for a Free, Safe, and Sustainable World, 2021

Scaffolds and Nudges: A Case Study in Learning Engineering Design Improvements.

Stephen E. Fancsali, Martina Pavelko, Josh Fisher, Leslie Wheeler, Steven Ritter

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

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

Proceedings of the Second International Workshop on Intelligent Textbooks 2020 co-located with 21st International Conference on Artificial Intelligence in Education (AIED 2020), 2020

Towards Practical Detection of Unproductive Struggle.

Stephen E. Fancsali, Kenneth Holstein, Michael Sandbothe, Steven Ritter, Bruce M. McLaren, Vincent Aleven

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Using Instruction-Embedded Formative Assessment to Predict State Summative Test Scores and Achievement Levels in Mathematics.

Guoguo Zheng, Stephen E. Fancsali, Steven Ritter, Susan R. Berman

J. Learn. Anal., August, 2019

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

Proceedings of the 12th International Conference on Educational Data Mining, 2019

What's a Textbook? Envisioning the 21st Century K-12 Text.

Steven Ritter, Josh Fisher, Amy Lewis, Sandy Bartle Finocchi, Bob Hausmann, Stephen Fancsali

Proceedings of the First Workshop on Intelligent Textbooks co-located with 20th International Conference on Artificial Intelligence in Education (AIED 2019), 2019

2018

Using embedded formative assessment to predict state summative test scores.

Stephen E. Fancsali, Guoguo Zheng, Yanyan Tan, Steven Ritter, Susan R. Berman, April Galyardt

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Assessments That Care About Student Learning.

Stephen E. Fancsali, Steven Ritter

Proceedings of the 14th International Conference on Intelligent Tutoring Systems 2018 Workshops, 2018

Special Track on Intelligent Learning Technologies.

Benjamin Nye, Stephen Fancsali

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

Intelligent Instructional Hand Offs.

Stephen Fancsali, Michael Yudelson, Susan R. Berman, Steven Ritter

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

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

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

How Mastery Learning Works at Scale.

Steven Ritter, Michael Yudelson, Stephen E. Fancsali, Susan R. Berman

Proceedings of the Third ACM Conference on Learning @ Scale, 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, Michael Yudelson, Michael Sandbothe, Susan R. Berman

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Towards Integrating Human and Automated Tutoring Systems.

Steven Ritter, Michael Yudelson, Stephen Fancsali, Susan R. Berman

Proceedings of the 9th International Conference on Educational Data Mining, 2016

MATHia X: The Next Generation Cognitive Tutor.

Steven Ritter, Stephen Fancsali

Proceedings of the 9th International Conference on Educational Data Mining, 2016

Toward Integrating Cognitive Tutor Interaction Data with Human Tutoring Text Dialogue Data in LearnSphere.

Stephen E. Fancsali, Steven Ritter, Susan R. Berman, Michael Yudelson, Vasile Rus, Donald M. Morrison

Proceedings of the Workshop and Tutorial Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Carnegie Learning's Cognitive Tutor.

Steven Ritter, Stephen Fancsali

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Confounding Carelessness? Exploring Causal Relationships Between Carelessness, Affect, Behavior, and Learning in Cognitive Tutor Algebra Using Graphical Causal Models.

Stephen Fancsali

Proceedings of the 8th International Conference on Educational Data Mining, 2015

2014

Context personalization, preferences, and performance in an intelligent tutoring system for middle school mathematics.

Stephen E. Fancsali, Steven Ritter

Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014

Better Data Beats Big Data.

Michael Yudelson, Stephen Fancsali, Steven Ritter, Susan R. Berman, Tristan Nixon, Ambarish Joshi

Proceedings of the 7th International Conference on Educational Data Mining, 2014

The Impact of Cognitive and Non-Cognitive Text-Based Factors on Solving Mathematics Story Problems.

Candace A. Walkington, Virginia Clinton, Steven Ritter, Mitchell J. Nathan, Stephen E. Fancsali

Proceedings of the Workshops held at Educational Data Mining 2014, 2014

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

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Causal Discovery with Models: Behavior, Affect, and Learning in Cognitive Tutor Algebra.

Stephen Fancsali

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Goal Orientation, Self-Efficacy, and "Online Measures" in Intelligent Tutoring Systems.

Stephen Fancsali, Matthew L. Bernacki, Timothy J. Nokes-Malach, Michael Yudelson, Steven Ritter

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Predicting Standardized Test Scores from Cognitive Tutor Interactions.

Steven Ritter, Ambarish Joshi, Stephen Fancsali, Tristan Nixon

Proceedings of the 6th International Conference on Educational Data Mining, 2013

The Complex Dynamics of Aggregate Learning Curves.

Tristan Nixon, Stephen Fancsali, Steven Ritter

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing.

Stephen Fancsali, Tristan Nixon, Steven Ritter

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Revealing the Learning in Learning Curves.

R. Charles Murray, Steven Ritter, Tristan Nixon, Ryan Schwiebert, Robert G. M. Hausmann, Brendon Towle, Stephen E. Fancsali, Annalies Vuong

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Toward "Hyper-Personalized" Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring.

Stephen Fancsali, Steven Ritter, John C. Stamper, Tristan Nixon

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Simulated Students, Mastery Learning, and Improved Learning Curves for Real-World Cognitive Tutors.

Stephen E. Fancsali, Tristan Nixon, Annalies Vuong, Steven Ritter

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012

Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results.

Stephen Fancsali

Proceedings of the 5th International Conference on Educational Data Mining, 2012

2011

Variable construction for predictive and causal modeling of online education data.

Stephen Fancsali

Proceedings of the 1st International Conference on Learning Analytics and Knowledge, 2011

Variable Construction and Causal Modeling of Online Education Messaging Data: Initial Results.

Stephen Fancsali

Proceedings of the 4th International Conference on Educational Data Mining, 2011

2005

Untapped resources: can intellectual diversity promote cultural diversity in technology?

Stephen Fancsali, Laura McGinnis

Proceedings of the Richard Tapia Celebration of Diversity in Computing Conference 2005, 2005