Author

Jose Brenes-Andre

Data Science Manager, Chegg - Cited by 696 - Machine Learning - Artificial Intelligence - Educational Data Mining

Biography

Jose Brenes-Andre, Civic Network Weather Stations, Heredia, Costa Rica. He  has published more than 30 articles, In the field of Environment, Geospatial Science, Natural Disasters,Earth Sciences, Geographic Information System. 
Title
Cited by
Year
General features in knowledge tracing to model multiple subskills, temporal item response theory, and expert knowledge
J González-Brenes, Y Huang, P BrusilovskyThe 7th international conference on educational data mining, 84-91, 2014201
153
2014
Integrating knowledge tracing and item response theory: A tale of two frameworks
MM Khajah, Y Huang, JP González-Brenes, MC Mozer, P BrusilovskyCEUR Workshop proceedings 1181, 7-15, 2014201
106
2014
Dynamic Cognitive Tracing: Towards Unified Discovery of Student and Cognitive Models.
JP González-Brenes, J MostowInternational Educational Data Mining Society, 2012201
59
2012
Content database generation
JP Gonzalez-Brenes, I Goldin, JA Larusson, J Behrens, T Mctavish, ...US Patent 10,713,225, 2020202
45
2020
What and when do students learn? Fully data-driven joint estimation of cognitive and student models
J González-Brenes, J MostowEducational Data Mining 2013, 2013201
40
2013
" Your Model Is Predictive--but Is It Useful?" Theoretical and Empirical Considerations of a New Paradigm for Adaptive Tutoring Evaluation.
JP González-Brenes, Y HuangInternational Educational Data Mining Society, 2015201
38
2015
Joint Discovery of Skill Prerequisite Graphs and Student Models.
Y Chen, JP González-Brenes, J TianInternational Educational Data Mining Society, 2016201
35
2016
Coreference resolution: Current trends and future directions
JH Clark, JP González-BrenesLanguage and Statistics II Literature Review 14, 2008200
31
2008
A data-driven approach for inferring student proficiency from game activity logs
MH Falakmasir, JP González-Brenes, GJ Gordon, KE DiCerboProceedings of the third (2016) acm conference on learning@ scale, 341-349, 2016201
29
2016
A Framework for Multifaceted Evaluation of Student Models.
Y Huang, JP González-Brenes, R Kumar, P BrusilovskyInternational Educational Data Mining Society, 2015201
26
2015
Modeling skill acquisition over time with sequence and topic modeling
J González-BrenesArtificial Intelligence and Statistics, 296-305, 2015201
23
2015
General features in knowledge tracing to model multiple subskills, temporal item response theory, and expert knowledge
Y Huang, J González-Brenes, P BrusilovskyEducational Data Mining 2014, 2014201
13
2014
Learning Classifiers From a Relational Database of Tutor Logs.
J Mostow, JP González-Brenes, B HongEDM, 149-158, 2011201
13
2011
Using Data from Real and Simulated Learners to Evaluate Adaptive Tutoring Systems.
JP González-Brenes, Y HuangAIED Workshops, 2015201
9
2015
Data-driven curriculum design: Mining the web to make better teaching decisions
A Moretti, J Gonzalez-Brenes, K McKnightEducational Data Mining 2014, 2014201
8
2014
Bayesian networks
JP González‐Brenes, JT Behrens, RJ Mislevy, R Levy, KE DiCerboThe Wiley Handbook of Cognition and Assessment: Frameworks, Methodologies …, 2016201
8
2016
Topical Hidden Markov Models for Skill Discovery in Tutorial Data
JP Gonzalez-Brenes, J MostowNIPS-Workshop on Personalizing Education With Machine Learning, 2012201
8
2012
Challenges of using observational data to determine the importance of example usage
Y Huang, JP González-Brenes, P BrusilovskyArtificial Intelligence in Education: 1th International Conference, AIED …, 2015201
7
2015
How to classify tutorial dialogue? comparing feature vectors vs. sequences
J González-Brenes, J Mostow, W DuanEducational Data Mining 2011, 2010201
7
2010
Fast: Feature-aware student knowledge tracing
J Gonzalez-Brenes, Y Huang, P BrusilovskyProceedings of NIPS 2013 Workshop on Data Driven Education, 2013201
6
2013

Referred From: https://scholar.google.com/citations?hl=en&user=yuX_sf8AAAAJ

Cited by
Citations 696
h-index 13
i10-index 13
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