Steven Ritter

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

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AIED (Posters/Late Breaking Results/...)

Publications

Emma Brunskill, Kole A. Norberg, Stephen Fancsali, Steven Ritter
Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale. L@S (2024)
Clara Belitz, Haejin Lee, Nidhi Nasiar, Stephen E. Fancsali, Steven Ritter, Husni Almoubayyed, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch
Hierarchical Dependencies in Classroom Settings Influence Algorithmic Bias Metrics. LAK (2024)
Steven Ritter, Stephen E. Fancsali, April Murphy, Neil T. Heffernan, Ben Motz, Debshila Basu Mallick, Jeremy Roschelle, Danielle S. McNamara, Joseph Jay Williams
Fifth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S (2024)
Abisha Thapa Magar, Stephen E. Fancsali, Vasile Rus, April Murphy, Steven Ritter, Deepak Venugopal
Learning Representations for Math Strategies using BERT. L@S (2024)
Hunter McNichols, Jaewook Lee, Stephen Fancsali, Steven Ritter, Andrew S. Lan
Can Large Language Models Replicate ITS Feedback on Open-Ended Math Questions? CoRR (2024)
Stephen E. Fancsali, Michael Sandbothe, Steven Ritter
Orchestrating Classrooms and Tutoring with Carnegie Learning's MATHia and LiveLab. Human-AI Math Tutoring@AIED (2023)
Clara Belitz, Jaclyn Ocumpaugh, Steven Ritter, Ryan S. Baker, Stephen E. Fancsali, Nigel Bosch
Constructing categories: Moving beyond protected classes in algorithmic fairness. J. Assoc. Inf. Sci. Technol. 74 (6) (2023)
Husni Almoubayyed, Stephen Fancsali, Steven Ritter
Generalizing Predictive Models of Reading Ability in Adaptive Mathematics Software. EDM (2023)
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
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)
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)
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)
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
Fourth Annual Workshop on A/B Testing and Platform-Enabled Learning Research. L@S (2023)
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)
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)