Stephen E. Fancsali
Stephen E. Fancsali
Director of Advanced Analytics, Carnegie Learning, Inc.
carnegielearning.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
322016
Predicting Standardized Test Scores from Cognitive Tutor Interactions
S Ritter, A Joshi, SE Fancsali, T Nixon
Sixth International Conference on Educational Data Mining, 2013
302013
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
262014
Revealing the learning in learning curves
RC Murray, S Ritter, T Nixon, R Schwiebert, RGM Hausmann, B Towle, ...
International Conference on Artificial Intelligence in Education, 473-482, 2013
232013
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
202013
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
172014
Variable construction for predictive and causal modeling of online education data
SE Fancsali
Proceedings of the 1st International Conference on Learning Analytics and …, 2011
172011
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
162013
Comorbid science?
D Danks, S Fancsali, C Glymour, R Scheines
Behavioral and Brain Sciences 33 (2-3), 153-155, 2010
162010
Variable Construction and Causal Discovery for Cognitive Tutor Log Data: Initial Results.
S Fancsali
EDM, 238-239, 2012
142012
Toward “Hyper-Personalized” Cognitive Tutors: Non-Cognitive Personalization in the Generalized Intelligent Framework for Tutoring
SE Fancsali, S Ritter, J Stamper, T Nixon
AIED 2013 Workshops Proceedings Volume 7, 71, 2013
11*2013
Simulated Students, Mastery Learning, and Improved Learning Curves for Real-World Cognitive Tutors
SE Fancsali, T Nixon, A Vuong, S Ritter
AIED 2013 Workshops Proceedings Volume 4, 2013
102013
Towards Integrating Human and Automated Tutoring Systems
S Ritter, SE Fancsali, S Berman, M Yudelson
9th International Conference on Educational Data Mining, 626-627, 2016
92016
Carnegie Learning’s Adaptive Learning Products
S Ritter, R Carlson, M Sandbothe, SE Fancsali
8th International Conference on Educational Data Mining, 2015
92015
The Complex Dynamics of Aggregate Learning Curves
T Nixon, S Fancsali, S Ritter
Sixth International Conference on Educational Data Mining, 2013
92013
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
82014
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
72018
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
72017
Implementation Factors and Outcomes for Intelligent Tutoring Systems: A Case Study of Time and Efficiency with Cognitive Tutor Algebra
SE Fancsali, S Ritter, M Yudelson, M Sandbothe, SR Berman
29th International Florida Artificial Intelligence Research Society …, 2016
62016
Constructing Variables that Support Causal Inference
SE Fancsali
Carnegie Mellon University, 2013
62013
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Makaleler 1–20