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Stephen E. Fancsali
Stephen E. Fancsali
Director of Advanced Analytics, Carnegie Learning, Inc.
Verified email at carnegielearning.com - Homepage
Title
Cited by
Cited by
Year
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
902016
Predicting Standardized Test Scores from Cognitive Tutor Interactions
S Ritter, A Joshi, SE Fancsali, T Nixon
Sixth International Conference on Educational Data Mining, 2013
452013
Causal Discovery with Models: Behavior, Affect, and Learning in Cognitive Tutor Algebra
SE Fancsali
7th International Conference on Educational Data Mining (EDM 2014), 28-35, 2014
412014
Revealing the learning in learning curves
RC Murray, S Ritter, T Nixon, R Schwiebert, RGM Hausmann, B Towle, ...
Artificial Intelligence in Education: 16th International Conference, AIED …, 2013
362013
Context personalization, preferences, and performance in an intelligent tutoring system for middle school mathematics
SE Fancsali, S Ritter
Fourth International Conference on Learning Analytics And Knowledge, 73-77, 2014
302014
Using embedded formative assessment to predict state summative test scores
SE Fancsali, G Zheng, Y Tan, S Ritter, SR Berman, A Galyardt
Proceedings of the 8th International Conference on Learning Analytics and …, 2018
272018
Optimal and Worst-Case Performance of Mastery Learning Assessment with Bayesian Knowledge Tracing
SE Fancsali, T Nixon, S Ritter
Sixth International Conference on Educational Data Mining, 2013
272013
Using Instruction-Embedded Formative Assessment to Predict State Summative Test Scores and Achievement Levels in Mathematics
G Zheng, SE Fancsali, S Ritter, S Berman
Journal of Learning Analytics 6 (2), 153–174, 2019
252019
Data-driven causal modeling of “gaming the system” and off-task behavior in Cognitive Tutor Algebra
SE Fancsali
NIPS 2013 Workshop on Data-Driven Education, 2013
212013
Better Data Beat Big Data
MV Yudelson, SE Fancsali, S Ritter, SR Berman, T Nixon, A Joshi
7th International Conference on Educational Data Mining (EDM 2014), 205-208, 2014
202014
Variable construction for predictive and causal modeling of online education data
SE Fancsali
Proceedings of the 1st International Conference on Learning Analytics and …, 2011
202011
Intelligent Instructional Hand Offs
SE Fancsali, MV Yudelson, SR Berman, S Ritter
Educational Data Mining 2018, 198-207, 2018
182018
Comorbid science?
D Danks, S Fancsali, C Glymour, R Scheines
Behavioral and Brain Sciences 33 (2-3), 153-155, 2010
182010
Carnegie Learning’s Adaptive Learning Products
S Ritter, R Carlson, M Sandbothe, SE Fancsali
8th International Conference on Educational Data Mining, 2015
172015
An Analysis of Human Tutors' Actions in Tutorial Dialogues
V Rus, N Maharjan, LJ Tamang, M Yudelson, S Berman, SE Fancsali, ...
Thirtieth International Florida Artificial Intelligence Research Society …, 2017
162017
Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results.
S Fancsali
EDM, 238-239, 2012
162012
UpGrade: An Open Source Tool to Support A/B Testing in Educational Software
S Ritter, A Murphy, S Fancsali, V Fitkariwala, N Patel, JD Lomas
L@S Workshop on Educational A/B Testing at Scale, 2020
142020
Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations.
C Zhang, Y Huang, J Wang, D Lu, W Fang, J Stamper, S Fancsali, ...
EDM 2019, 2019
142019
The Complex Dynamics of Aggregate Learning Curves
T Nixon, S Fancsali, S Ritter
Sixth International Conference on Educational Data Mining, 2013
142013
Constructing categories: Moving beyond protected classes in algorithmic fairness
C Belitz, J Ocumpaugh, S Ritter, RS Baker, SE Fancsali, N Bosch
Journal of the Association for Information Science and Technology, 2022
132022
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