José González-Brenes

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Yun HuangResearch Scientist, Austral University of ChileVerified email at uach.cl
Peter BrusilovskyProfessor, School of Computing and Information, University of PittsburghVerified email at pitt.edu
Jack MostowCarnegie Mellon UniversityVerified email at cs.cmu.edu
Michael MozerGoogle Research, Brain Team; University of ColoradoVerified email at colorado.edu
Kristen DiCerboKhan AcademyVerified email at khanacademy.org
Yetian ChenAmazonVerified email at amazon.com
Antonio Khalil MorettiBarnard College and Columbia UniversityVerified email at cs.columbia.edu
Jin TianIowa State UniversityVerified email at iastate.edu
Jonathan H ClarkResearch Scientist, GoogleVerified email at google.com
Mohammad FalakmasirPhD Candidate, Intelligent Systems Program, University of PittsburghVerified email at cs.pitt.edu
Rohit KumarMajorBoost, VoiceThesisVerified email at rohitkumar.net
Luis ArmonaHarvard Kennedy SchoolVerified email at hks.harvard.edu
Robert MislevyUniversity of Maryland (Emeritus); Educational Testing Service (retired)Verified email at umd.edu
Roy LevyArizona State UniversityVerified email at asu.edu
Alan W BlackProfessor, Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Maxine EskenaziPrincipal Systems Scientist, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Ansaf Salleb-AouissiColumbia University Computer Science DepartmentVerified email at columbia.edu
Roni RosenfeldProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Carolyn Penstein RoseLanguage Technologies Institute and Human-Computer Interaction Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu

José González-Brenes

Data Science Manager, Chegg

Verified email at cs.cmu.edu - Homepage

Machine Learning Artificial Intelligence Educational Data Mining


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General features in knowledge tracing to model multiple subskills, temporal item response theory, and expert knowledge J González-Brenes, Y Huang, P Brusilovsky The 7th international conference on educational data mining, 84-91, 2014	155	2014
Integrating knowledge tracing and item response theory: A tale of two frameworks MM Khajah, Y Huang, JP González-Brenes, MC Mozer, P Brusilovsky CEUR Workshop proceedings 1181, 7-15, 2014	107	2014
Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models. JP González-Brenes, J Mostow International Educational Data Mining Society, 2012	59	2012
Content database generation JP Gonzalez-Brenes, I Goldin, JA Larusson, J Behrens, T Mctavish, ... US Patent 10,713,225, 2020	45	2020
What and when do students learn? Fully data-driven joint estimation of cognitive and student models J González-Brenes, J Mostow Educational Data Mining 2013, 2013	40	2013
System and method for increasing data transmission rates through a content distribution network with customized aggregations JPG Brenes, I Goldin, JA Larusson, J Behrens, T Mctavish US Patent 10,027,740, 2018	38	2018
" Your Model Is Predictive--but Is It Useful?" Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation. JP González-Brenes, Y Huang International Educational Data Mining Society, 2015	38	2015
Joint Discovery of Skill Prerequisite Graphs and Student Models. Y Chen, JP González-Brenes, J Tian International Educational Data Mining Society, 2016	35	2016
Content database generation JPG Brenes, J Behrens, Y Huang US Patent 10,318,499, 2019	34	2019
Coreference resolution: Current trends and future directions JH Clark, JP González-Brenes Language and Statistics II Literature Review, 1-14, 2008	31	2008
System and method for increasing data transmission rates through a content distribution network JPG Brenes US Patent 10,218,630, 2019	30	2019
A data-driven approach for inferring student proficiency from game activity logs MH Falakmasir, JP González-Brenes, GJ Gordon, KE DiCerbo Proceedings of the third (2016) acm conference on learning@ scale, 341-349, 2016	29	2016
A Framework for Multifaceted Evaluation of Student Models. Y Huang, JP González-Brenes, R Kumar, P Brusilovsky International Educational Data Mining Society, 2015	25	2015
Modeling skill acquisition over time with sequence and topic modeling J González-Brenes Artificial Intelligence and Statistics, 296-305, 2015	23	2015
Learning Classifiers From a Relational Database of Tutor Logs. J Mostow, JP González-Brenes, B Hong EDM, 149-158, 2011	13	2011
General features in knowledge tracing to model multiple subskills, temporal item response theory, and expert knowledge Y Huang, J González-Brenes, P Brusilovsky Educational Data Mining 2014, 2014	12	2014
Bayesian networks JP González‐Brenes, JT Behrens, RJ Mislevy, R Levy, KE DiCerbo The Wiley Handbook of Cognition and Assessment: Frameworks, Methodologies …, 2016	9	2016
Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems. JP González-Brenes, Y Huang AIED Workshops, 2015	9	2015
Data-driven curriculum design: Mining the web to make better teaching decisions A Moretti, J Gonzalez-Brenes, K McKnight Educational Data Mining 2014, 2014	8	2014
Topical Hidden Markov Models for Skill Discovery in Tutorial Data JP Gonzalez-Brenes, J Mostow NIPS-Workshop on Personalizing Education With Machine Learning, 2012	8	2012

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