Philip Pavlik
Philip Pavlik
Carnegie Mellon University, University of Memphis
Verified email at - Homepage
TitleCited byYear
Performance Factors Analysis--A New Alternative to Knowledge Tracing.
PI Pavlik Jr, H Cen, KR Koedinger
Online Submission, 2009
Practice and Forgetting Effects on Vocabulary Memory: An Activation‐Based Model of the Spacing Effect
PI Pavlik, JR Anderson
Cognitive Science 29 (4), 559-586, 2005
Using a model to compute the optimal schedule of practice.
PI Pavlik, JR Anderson
Journal of Experimental Psychology: Applied 14 (2), 101, 2008
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models.
PI Pavlik Jr, H Cen, KR Koedinger
Online Submission, 2009
An ACT-R model of the spacing effect
PI Pavlik, JR Anderson
Proceedings of the Fifth International Conference on Cognitive Modeling, 177-182, 2003
Avoiding problem selection thrashing with conjunctive knowledge tracing
K Koedinger, PI Pavlik Jr, J Stamper, T Nixon, S Ritter
Educational data mining 2011, 2010
iMinerva: A mathematical model of distributional statistical learning
ED Thiessen, PI Pavlik Jr
Cognitive Science 37 (2), 310-343, 2013
Using Item-Type Performance Covariance to Improve the Skill Model of an Existing Tutor.
PI Pavlik Jr, H Cen, L Wu, KR Koedinger
Online Submission, 2008
Using optimally selected drill practice to train basic facts
P Pavlik, T Bolster, SM Wu, K Koedinger, B Macwhinney
Intelligent Tutoring Systems, 593-602, 2008
Understanding and applying the dynamics of test practice and study practice
PI Pavlik
Instructional Science 35 (5), 407-441, 2007
The FaCT (Fact and Concept Training) System: A new tool linking cognitive science with educators
PI Pavlik Jr, N Presson, G Dozzi, S Wu, B MacWhinney, KR Koedinger
Proceedings of the Twenty-Ninth Annual Conference of the Cognitive Science …, 2007
A Review of Learner Models Used in Intelligent Tutoring Systems
PI Pavlik Jr, K Brawner, A Olney, A Mitrovic
Design Recommendations for Intelligent Tutoring Systems: Volume 1-Learner …, 2013
Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning.
C Forsyth, P Pavlik Jr, AC Graesser, Z Cai, M Germany, K Millis, RP Dolan, ...
International Educational Data Mining Society, 2012
Using contextual factors analysis to explain transfer of least common multiple skills
PI Pavlik, M Yudelson, KR Koedinger
International Conference on Artificial Intelligence in Education, 256-263, 2011
Operation aries!: Methods, mystery, and mixed models: Discourse features predict affect in a serious game
CM Forsyth, AC Graesser, P Pavlik Jr, Z Cai, H Butler, D Halpern, K Millis
JEDM| Journal of Educational Data Mining 5 (1), 147-189, 2013
ElectronixTutor: an intelligent tutoring system with multiple learning resources for electronics
AC Graesser, X Hu, BD Nye, K VanLehn, R Kumar, C Heffernan, ...
International journal of STEM education 5 (1), 15, 2018
Timing is an order: Modeling order effects in the learning of information
PI Pavlik Jr
In order to learn: How the sequences of topics affect learning, 137-150, 2007
Testing theories of transfer using error rate learning curves
KR Koedinger, MV Yudelson, PI Pavlik Jr
Topics in cognitive science 8 (3), 589-609, 2016
The language of instruction: Compensating for challenge in lectures.
S Medimorec, PI Pavlik Jr, A Olney, AC Graesser, EF Risko
Journal of Educational Psychology 107 (4), 971, 2015
Comparing student models in different formalisms by predicting their impact on help success
S Lallé, J Mostow, V Luengo, N Guin
International Conference on Artificial Intelligence in Education, 161-170, 2013
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