Philip I. Pavlik Jr.

35 papers A 5B 21Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Evolutionary Features for Mitigating Cold Starts in Logistic Knowledge Tracing. EDM Philip I. Pavlik Jr., Luke Eglington
2024	B	`conf`	Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Train-ing Sequences on Category Learning. EDM Meng Cao, Philip I. Pavlik Jr., Wei Chu, Liang Zhang
2024	J	`jnl`	Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning. CoRR Meng Cao, Philip I. Pavlik Jr., Wei Chu, Liang Zhang
2024	B	`conf`	Logistic Knowledge Tracing Tutorial: Practical Educational Applications. EDM Philip I. Pavlik Jr., Luke G. Eglington, Meng Cao, Wei Chu
2023	B	`conf`	Automated Search for Logistic Knowledge Tracing Models. EDM Philip I. Pavlik Jr., Luke G. Eglington
2023	B	`conf`	The Predictiveness of PFA is Improved by Incorporating the Learner's Correct Response Time Fluctuation. EDM Wei Chu, Philip I. Pavlik Jr.
2021	B	`conf`	Automatic Domain Model Creation and Improvement. EDM Philip I. Pavlik Jr., Luke Eglington, Liang Zhang
2021	J	`jnl`	Modeling the EdNet Dataset with Logistic Regression. CoRR Philip I. Pavlik Jr., Luke G. Eglington
2021	—	`conf`	The Learner Data Institute - Conceptualization: A Progress Report. EDM (Workshops) Vasile Rus, Stephen E. Fancsali, Philip I. Pavlik Jr., Deepak Venugopal, Arthur C. Graesser, Steven Ritter, Dale Bowman, The LDI Team
2021	—	`conf`	The Mobile Fact and Concept Textbook System (MoFaCTS) Computational Model and Scheduling System. iTextbooks@AIED Philip I. Pavlik Jr., Luke G. Eglington
2020	—	`conf`	The Mobile Fact and Concept Textbook System (MoFaCTS). iTextbooks@AIED Philip I. Pavlik Jr., Andrew McGregor Olney, Amanda Banker, Luke Eglington, Jeffrey Yarbro
2019	B	`conf`	Incorporating Prior Practice Difficulty into Performance Factor Analysis to Model Mandarin Tone Learning. EDM Meng Cao, Philip I. Pavlik Jr., Gavin M. Bidelman
2017	A	`conf`	Improving Reading Comprehension with Automatically Generated Cloze Item Practice. AIED Andrew McGregor Olney, Philip I. Pavlik Jr., Jaclyn K. Maass
2017	B	`conf`	Online Learning Persistence and Academic Achievement. EDM Ying Fang, Benjamin Nye, Philip I. Pavlik Jr., Yonghong Xu, Arthur C. Graesser, Xiangen Hu
2017	B	`conf`	Sharing and Reusing Data and Analytic Methods with LearnSphere. EDM Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr.
2017	B	`conf`	Using an Additive Factor Model and Performance Factor Analysis to Assess Learning Gains in a Tutoring System to Help Adults with Reading Difficulties. EDM Genghu Shi, Philip I. Pavlik Jr., Arthur C. Graesser
2016	B	`conf`	Modeling the Influence of Format and Depth during Effortful Retrieval Practice. EDM Jaclyn K. Maass, Philip I. Pavlik Jr.
2016	J	`jnl`	Testing Theories of Transfer Using Error Rate Learning Curves. Top. Cogn. Sci. Kenneth R. Koedinger, Michael Yudelson, Philip I. Pavlik Jr.
2016	B	`conf`	The Mobile Fact and Concept Training System (MoFaCTS). ITS Philip I. Pavlik Jr., Craig Kelly, Jaclyn K. Maass
2015	A	`conf`	How Spacing and Variable Retrieval Practice Affect the Learning of Statistics Concepts. AIED Jaclyn K. Maass, Philip I. Pavlik Jr., Henry Hua
2014	B	`conf`	Discovering Theoretically Grounded Predictors of Shallow vs. Deep- level Learning. EDM Carol Forsyth, Arthur C. Graesser, Philip I. Pavlik Jr., Keith K. Millis, Borhan Samei
2014	B	`conf`	Linguistic Features of Lectures: Offsetting Challenging Words. CogSci Srdan Medimorec, Philip I. Pavlik Jr., Andrew Olney, Arthur C. Graesser, Evan F. Risko
2013	A	`conf`	Didactic Galactic: Types of Knowledge Learned in a Serious Game. AIED Carol Forsyth, Arthur C. Graesser, Breya Walker, Keith K. Millis, Philip I. Pavlik Jr., Diane F. Halpern
2013	A	`conf`	Using Learner Modeling to Determine Effective Conditions of Learning for Optimal Transfer. AIED Jaclyn K. Maass, Philip I. Pavlik Jr.
2013	A	`conf`	Utilizing Concept Mapping in Intelligent Tutoring Systems. AIED Jaclyn K. Maass, Philip I. Pavlik Jr.
2013	J	`jnl`	iMinerva: A Mathematical Model of Distributional Statistical Learning. Cogn. Sci. Erik D. Thiessen, Philip I. Pavlik Jr.
2012	B	`conf`	Facilitating Co-adaptation of Technology and Education through the Creation of an Open-Source Repository of Interoperable Code. ITS Philip I. Pavlik Jr., Jaclyn K. Maass, Vasile Rus, Andrew Olney
2012	B	`conf`	Learning Gains for Core Concepts in a Serious Game on Scientific Reasoning. EDM Carol Forsyth, Philip I. Pavlik Jr., Arthur C. Graesser, Zhiqiang Cai, Mae-Lynn Germany, Keith K. Millis, Heather Butler, Diane F. Halpern, Robert P. Dolan
2011	B	`conf`	A Dynamical System Model of Microgenetic Changes in Performance, Efficacy, Strategy Use and Value during Vocabulary Learning. EDM Philip I. Pavlik Jr., Sue-mei Wu
2011	B	`conf`	Avoiding Problem Selection Thrashing with Conjunctive Knowledge Tracing. EDM Kenneth R. Koedinger, Philip I. Pavlik Jr., John C. Stamper, Tristan Nixon, Steven Ritter
2010	B	`conf`	Data Reduction Methods Applied to Understanding Complex Learning Hypotheses. EDM Philip I. Pavlik Jr.
2010	B	`ed.`	Educational Data Mining 2010, The 3rd International Conference on Educational Data Mining, Pittsburgh, PA, USA, June 11-13, 2010. Proceedings EDM Ryan Shaun Joazeiro de Baker, Agathe Merceron, Philip I. Pavlik Jr.
2009	B	`conf`	Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models. EDM Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinger
2005	J	`jnl`	Practice and Forgetting Effects on Vocabulary Memory: An Activation-Based Model of the Spacing Effect. Cogn. Sci. Philip I. Pavlik Jr., John R. Anderson
2004	—	`conf`	An ACT-R Model of Memory Applied to Finding the Optimal Schedule of Practice. ICCM Philip I. Pavlik Jr., John R. Anderson