Philip I. Pavlik Jr.

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 14

Top Topics

Concept Mapping

Factor Analysis

Learning Curves

Automatically Generate

Top Venues

iTextbooks@AIED

EDM (Workshops)

Publications

Vasile Rus, Stephen E. Fancsali, Philip I. Pavlik Jr., Deepak Venugopal, Arthur C. Graesser, Steven Ritter, Dale Bowman, The L. D. I. Team
The Learner Data Institute - Conceptualization: A Progress Report. EDM (Workshops) (2021)
Philip I. Pavlik Jr., Luke G. Eglington
The Mobile Fact and Concept Textbook System (MoFaCTS) Computational Model and Scheduling System. iTextbooks@AIED (2021)
Philip I. Pavlik Jr., Luke Eglington, Liang Zhang
Automatic Domain Model Creation and Improvement. EDM (2021)
Philip I. Pavlik Jr., Luke G. Eglington
Modeling the EdNet Dataset with Logistic Regression. CoRR (2021)
Philip I. Pavlik Jr., Andrew McGregor Olney, Amanda Banker, Luke Eglington, Jeffrey Yarbro
The Mobile Fact and Concept Textbook System (MoFaCTS). iTextbooks@AIED (2020)
Meng Cao, Philip I. Pavlik Jr., Gavin M. Bidelman
Incorporating Prior Practice Difficulty into Performance Factor Analysis to Model Mandarin Tone Learning. EDM (2019)
Genghu Shi, Philip I. Pavlik Jr., Arthur C. Graesser
Using an Additive Factor Model and Performance Factor Analysis to Assess Learning Gains in a Tutoring System to Help Adults with Reading Difficulties. EDM (2017)
Ying Fang, Benjamin Nye, Philip I. Pavlik Jr., Yonghong Xu, Arthur C. Graesser, Xiangen Hu
Online Learning Persistence and Academic Achievement. EDM (2017)
Andrew McGregor Olney, Philip I. Pavlik Jr., Jaclyn K. Maass
Improving Reading Comprehension with Automatically Generated Cloze Item Practice. AIED (2017)
Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.
Sharing and Reusing Data and Analytic Methods with LearnSphere. EDM (2017)
Jaclyn K. Maass, Philip I. Pavlik Jr.
Modeling the Influence of Format and Depth during Effortful Retrieval Practice. EDM (2016)
Philip I. Pavlik Jr., Craig Kelly, Jaclyn K. Maass
The Mobile Fact and Concept Training System (MoFaCTS). ITS (2016)
Kenneth R. Koedinger, Michael Yudelson, Philip I. Pavlik Jr.
Testing Theories of Transfer Using Error Rate Learning Curves. Top. Cogn. Sci. 8 (3) (2016)
Jaclyn K. Maass, Philip I. Pavlik Jr., Henry Hua
How Spacing and Variable Retrieval Practice Affect the Learning of Statistics Concepts. AIED (2015)
Carol Forsyth, Arthur C. Graesser, Philip I. Pavlik Jr., Keith K. Millis, Borhan Samei
Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning. EDM (2014)
Srdan Medimorec, Philip I. Pavlik Jr., Andrew Olney, Arthur C. Graesser, Evan F. Risko
Linguistic Features of Lectures: Offsetting Challenging Words. CogSci (2014)
Carol Forsyth, Arthur C. Graesser, Breya Walker, Keith K. Millis, Philip I. Pavlik Jr., Diane F. Halpern
Didactic Galactic: Types of Knowledge Learned in a Serious Game. AIED (2013)
Jaclyn K. Maass, Philip I. Pavlik Jr.
Using Learner Modeling to Determine Effective Conditions of Learning for Optimal Transfer. AIED (2013)
Erik D. Thiessen, Philip I. Pavlik Jr.
iMinerva: A Mathematical Model of Distributional Statistical Learning. Cogn. Sci. 37 (2) (2013)
Jaclyn K. Maass, Philip I. Pavlik Jr.
Utilizing Concept Mapping in Intelligent Tutoring Systems. AIED (2013)
Philip I. Pavlik Jr., Jaclyn K. Maass, Vasile Rus, Andrew Olney
Facilitating Co-adaptation of Technology and Education through the Creation of an Open-Source Repository of Interoperable Code. ITS (2012)
Carol Forsyth, Philip I. Pavlik Jr., Arthur C. Graesser, Zhiqiang Cai, Mae-Lynn Germany, Keith K. Millis, Heather Butler, Diane F. Halpern, Robert Dolan
Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning. EDM (2012)
Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter
Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. EDM (2011)
Philip I. Pavlik Jr., Sue-mei Wu
A Dynamical System Model of Microgenetic Changes in Performance, Efficacy, Strategy Use and Value during Vocabulary Learning. EDM (2011)
Philip I. Pavlik Jr.
Data Reduction Methods Applied to Understanding Complex Learning Hypotheses. EDM (2010)
Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinger
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models. EDM (2009)
Philip I. Pavlik Jr., John R. Anderson
Practice and Forgetting Effects on Vocabulary Memory: An Activation-Based Model of the Spacing Effect. Cogn. Sci. 29 (4) (2005)
Philip I. Pavlik Jr., John R. Anderson
An ACT-R Model of Memory Applied to Finding the Optimal Schedule of Practice. ICCM (2004)