Philip Pavlik
Philip Pavlik
Carnegie Mellon University, University of Memphis
E-mail confirmado em memphis.edu - Página inicial
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Performance Factors Analysis--A New Alternative to Knowledge Tracing.
PI Pavlik Jr, H Cen, KR Koedinger
Online Submission, 2009
4902009
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
3582005
Using a model to compute the optimal schedule of practice.
PI Pavlik, JR Anderson
Journal of Experimental Psychology: Applied 14 (2), 101, 2008
2332008
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models.
PI Pavlik Jr, H Cen, KR Koedinger
Online Submission, 2009
882009
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), 1-21, 2018
492018
iMinerva: A mathematical model of distributional statistical learning
ED Thiessen, PI Pavlik Jr
Cognitive Science 37 (2), 310-343, 2013
482013
An ACT-R model of the spacing effect
PI Pavlik, JR Anderson
Proceedings of the Fifth International Conference on Cognitive Modeling, 177-182, 2003
432003
Avoiding problem selection thrashing with conjunctive knowledge tracing
K Koedinger, PI Pavlik Jr, J Stamper, T Nixon, S Ritter
Educational data mining 2011, 2010
422010
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
382008
SKOPE-IT (Shareable Knowledge Objects as Portable Intelligent Tutors): overlaying natural language tutoring on an adaptive learning system for mathematics
BD Nye, PI Pavlik, A Windsor, AM Olney, M Hajeer, X Hu
International journal of STEM education 5 (1), 1-20, 2018
372018
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
352013
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
352008
Understanding and applying the dynamics of test practice and study practice
PI Pavlik
Instructional Science 35 (5), 407-441, 2007
302007
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
292007
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
242011
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
Journal of Educational Data Mining 5 (1), 147-189, 2013
222013
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
212012
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
202016
Online Learning Persistence and Academic Achievement.
Y Fang, B Nye, P Pavlik, YJ Xu, A Graesser, X Hu
International Educational Data Mining Society, 2017
182017
A new measure of text formality: An analysis of discourse of Mao Zedong
H Li, AC Graesser, M Conley, Z Cai, PI Pavlik, JW Pennebaker
Discourse Processes 53 (3), 205-232, 2016
162016
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Artigos 1–20