| How mastery learning works at scale S Ritter, M Yudelson, SE Fancsali, SR Berman Proceedings of the Third (2016) ACM Conference on Learning@ Scale, 71-79, 2016 | 99 | 2016 |
| Towards lightweight tutoring agents S Ritter, KR Koedinger Proceedings of the the 7th World Conference on Artificial Intelligence in …, 1995 | 62 | 1995 |
| How readability and topic incidence relate to performance on mathematics story problems in computer-based curricula. C Walkington, V Clinton, SN Ritter, MJ Nathan Journal of Educational Psychology 107 (4), 1051, 2015 | 51 | 2015 |
| Predicting standardized test scores from cognitive tutor interactions S Ritter, A Joshi, S Fancsali, T Nixon Educational Data Mining 2013, 2013 | 45 | 2013 |
| The Rise of the Super Experiment. JC Stamper, D Lomas, D Ching, S Ritter, KR Koedinger, J Steinhart International Educational Data Mining Society, 2012 | 35 | 2012 |
| Algebra I 2008-2009 J Stamper, A Niculescu-Mizil, S Ritter, GJ Gordon, KR Koedinger Challenge data set from KDD Cup, 2010 | 34 | 2010 |
| Algebra I 2005-2006 and Bridge to Algebra 2006-2007 J Stamper, A Niculescu-Mizil, S Ritter, G Gordon, K Koedinger Development data sets from KDD Cup, 2010 | 26 | 2010 |
| Better data beats big data M Yudelson, S Fancsali, S Ritter, S Berman, T Nixon, A Joshi Educational data mining 2014, 2014 | 23 | 2014 |
| The research behind the Carnegie Learning math series S Ritter Pittsburgh, PA: Carnegie Learning, 2011 | 23 | 2011 |
| An analysis of human tutors’ actions in tutorial dialogues V Rus, N Maharjan, LJ Tamang, M Yudelson, S Berman, SE Fancsali, ... The Thirtieth International Flairs Conference, 2017 | 20 | 2017 |
| Towards the Future of AI-Augmented Human Tutoring in Math Learning V Aleven, R Baraniuk, E Brunskill, S Crossley, D Demszky, S Fancsali, ... International Conference on Artificial Intelligence in Education, 26-31, 2023 | 15 | 2023 |
| –Discovering Curve Data I Goldin, PI Pavlik Jr, S Ritter Design Recommendations for Intelligent Tutoring Systems: Volume 4-Domain …, 2016 | 15 | 2016 |
| Rewriting Math Word Problems with Large Language Models. K Norberg, H Almoubayyed, SE Fancsali, L De Ley, K Weldon, A Murphy, ... Grantee Submission, 2023 | 14 | 2023 |
| Challenge data set from kdd cup 2010 educational data mining challenge J Stamper, A Niculescu-Mizil, S Ritter, GJ Gordon, KR Koedinger Find it at http://pslcdatashop. web. cmu. edu/KDDCup/downloads. jsp, 2010 | 14 | 2010 |
| Algebra i 2008–2009. challenge data set from kdd cup 2010 educational data mining challenge J Stamper, A Niculescu-Mizil, S Ritter, GJ Gordon, KR Koedinger Retrieved April 25, 2015, 2010 | 14 | 2010 |
| Towards Integrating Human and Automated Tutoring Systems. S Ritter, M Yudelson, S Fancsali, SR Berman EDM, 626-627, 2016 | 12 | 2016 |
| Spectral Bayesian Knowledge Tracing. M Falakmasir, M Yudelson, S Ritter, K Koedinger International Educational Data Mining Society, 2015 | 12 | 2015 |
| Goal orientation, self-efficacy, and “online measures” in intelligent tutoring systems S Fancsali, M Bernacki, T Nokes-Malach, M Yudelson, S Ritter Proceedings of the annual meeting of the cognitive science society 36 (36), 2014 | 11 | 2014 |
| Instruction-embedded assessment for reading ability in adaptive mathematics software H Almoubayyed, SE Fancsali, S Ritter LAK23: 13th International Learning Analytics and Knowledge Conference, 366-377, 2023 | 10 | 2023 |
| The learner data institute: Mission, framework, & activities V Rus, SE Fancsali, D Bowman, P Pavlik Jr, S Ritter, D Venugopal, ... Proceedings of The First Workshop of the Learner Data Institute, The 13th …, 2020 | 10 | 2020 |
