Articles with public access mandates - Philip PavlikLearn more
Available somewhere: 29
Using a model to compute the optimal schedule of practice.
PI Pavlik, JR Anderson
Journal of Experimental Psychology: Applied 14 (2), 101, 2008
Mandates: US National Institutes of Health
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, 1-21, 2018
Mandates: US National Science Foundation, US Department of Defense
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, 1-20, 2018
Mandates: US Department of Defense
Logistic knowledge tracing: A constrained framework for learner modeling
PI Pavlik, LG Eglington, LM Harrell-Williams
IEEE Transactions on Learning Technologies 14 (5), 624-639, 2021
Mandates: US National Science Foundation, US Institute of Education Sciences
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
Mandates: US Institute of Education Sciences
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
Mandates: US National Science Foundation
Clustering the Learning Patterns of Adults with Low Literacy Skills Interacting with an Intelligent Tutoring System.
Y Fang, K Shubeck, A Lippert, Q Chen, G Shi, S Feng, J Gatewood, ...
Grantee Submission, 2018
Mandates: US National Science Foundation
Exploring an intelligent tutoring system as a conversation-based assessment tool for reading comprehension
G Shi, AM Lippert, K Shubeck, Y Fang, S Chen, P Pavlik, D Greenberg, ...
Behaviormetrika 45, 615-633, 2018
Mandates: US National Science Foundation, US Institute of Education Sciences, US …
Mitigating knowledge decay from instruction with voluntary use of an adaptive learning system
AJ Hampton, BD Nye, PI Pavlik, WR Swartout, AC Graesser, J Gunderson
Artificial Intelligence in Education: 19th International Conference, AIED …, 2018
Mandates: US Department of Defense
Optimizing practice scheduling requires quantitative tracking of individual item performance
LG Eglington, PI Pavlik Jr
npj Science of Learning 5 (1), 15, 2020
Mandates: US National Science Foundation, US Institute of Education Sciences
Improving reading comprehension with automatically generated cloze item practice
AM Olney, PI Pavlik Jr, JK Maass
International Conference on Artificial Intelligence in Education, 262-273, 2017
Mandates: US National Science Foundation, US Department of Defense, US Institute of …
The Mobile Fact and Concept Textbook System (MoFaCTS).
PI Pavlik Jr, AM Olney, A Banker, L Eglington, J Yarbro
Grantee Submission, 2020
Mandates: US National Science Foundation, US Institute of Education Sciences
The mobile fact and concept training system (MoFaCTS)
PI Pavlik, C Kelly, JK Maass
Intelligent Tutoring Systems: 13th International Conference, ITS 2016 …, 2016
Mandates: US National Science Foundation
Discovering theoretically grounded predictors of shallow vs. deep-level learning
C Forsyth, A Graesser, PI Pavlik Jr, K Millis, B Samei
Educational Data Mining 2014, 2014
Mandates: US Institute of Education Sciences
Modeling the role of distributional information in children’s use of phonemic contrasts
ED Thiessen, PI Pavlik Jr
Journal of Memory and Language 88, 117-132, 2016
Mandates: US National Science Foundation
How to optimize student learning using student models that adapt rapidly to individual differences
LG Eglington, PI Pavlik Jr
International Journal of Artificial Intelligence in Education 33 (3), 497-518, 2023
Mandates: US National Science Foundation, US Institute of Education Sciences
Didactic galactic: Types of knowledge learned in a serious game
C Forsyth, A Graesser, B Walker, K Millis, PI Pavlik, D Halpern
Artificial Intelligence in Education: 16th International Conference, AIED …, 2013
Mandates: US Institute of Education Sciences
Automatic Domain Model Creation and Improvement.
PI Pavlik Jr, LG Eglington, L Zhang
Grantee Submission, 2021
Mandates: US National Science Foundation, US Institute of Education Sciences
Using an Additive Factor Model and Performance Factor Analysis to Assess Learning Gains in a Tutoring System to Help Adults with Reading Difficulties.
G Shi, P Pavlik Jr, A Graesser
Grantee Submission, 2017
Mandates: US National Science Foundation
Predictiveness of Prior Failures Is Improved by Incorporating Trial Duration.
LG Eglington, PI Pavlik Jr
Grantee Submission 11 (2), 1-19, 2019
Mandates: US National Science Foundation, US Institute of Education Sciences
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