Steve Ritter
Steve Ritter
Founder and Chief Scientist, Carnegie Learning
Verified email at
Cited by
Cited by
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
Towards lightweight tutoring agents
S Ritter, KR Koedinger
Proceedings of the the 7th World Conference on Artificial Intelligence in …, 1995
Algebra I 2008-2009
J Stamper, A Niculescu-Mizil, S Ritter, GJ Gordon, KR Koedinger
Challenge data set from KDD Cup, 2010
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
Predicting standardized test scores from cognitive tutor interactions
S Ritter, A Joshi, S Fancsali, T Nixon
Educational Data Mining 2013, 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
Better data beats big data
M Yudelson, S Fancsali, S Ritter, S Berman, T Nixon, A Joshi
Educational data mining 2014, 2014
The research behind the Carnegie Learning math series
S Ritter
Pittsburgh, PA: Carnegie Learning, 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
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
–Discovering Curve Data
I Goldin, PI Pavlik Jr, S Ritter
Design Recommendations for Intelligent Tutoring Systems: Volume 4-Domain …, 2016
Spectral Bayesian Knowledge Tracing.
M Falakmasir, M Yudelson, S Ritter, K Koedinger
International Educational Data Mining Society, 2015
Towards Integrating Human and Automated Tutoring Systems.
S Ritter, M Yudelson, S Fancsali, SR Berman
EDM, 626-627, 2016
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
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
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
Algebra i 2006-2007. challenge data set from kdd cup 2010 educational data mining challenge
J Stamper, A Niculescu-Mizil, S Ritter, G Gordon, K Koedinger
KDDCup/downloads. jsp, 2010
Educational software design: education, engagement, and productivity concerns
S Ritter, RC Murray, RGM Hausmann
End-User Considerations in Educational Technology Design, 35-51, 2018
Preliminary results on dialogue act classification in chatbased online tutorial dialogues
V Rus, R Banjade, N Maharjan, D Morrison, S Ritter, M Yudelson
Proceedings of the 9th international conference on educational data mining …, 2016
Data set from KDD Cup 2010 educational data mining challenge
J Stamper, A Niculescu-Mizilm, S Ritter, GJ Gordon, KR Koedinger
Find it at http://pslcdatashop. web. cmu. edu/KDDCup/downloads. jsp, 2010
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