Luc Paquette

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	Todos	Desde 2020
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Ryan BakerUniversity of PennsylvaniaEmail confirmado em upenn.edu
Jaclyn OcumpaughAssociate Director, Penn Center for Learning Analytics, University of PennsylvaniaEmail confirmado em upenn.edu
Nigel BoschSchool of Information Sciences and Department of Educational Psychology, University of IllinoisEmail confirmado em illinois.edu
Gautam BiswasCornelius Vanderbilt Professor of Engineering; Professor of Computer Science and EngineeringEmail confirmado em vanderbilt.edu
Alexandra L. AndresUniversity of PennsylvaniaEmail confirmado em gse.upenn.edu
Jonathan RoweSenior Software Engineer, Applied Research AssociatesEmail confirmado em ara.com
James LesterGoodnight Distinguished University Professor, North Carolina State UniversityEmail confirmado em ncsu.edu
Bradford MottSenior Research Scientist, North Carolina State UniversityEmail confirmado em ncsu.edu
Yang JiangEducational Testing Service; Columbia University; Harvard UniversityEmail confirmado em tc.columbia.edu
Yuan "Elle" WangColumbia UniversityEmail confirmado em columbia.edu
Keith BrawnerArmy DEVCOM Soldier CenterEmail confirmado em mail.mil
Danielle McNamaraArizona State UniversityEmail confirmado em asu.edu
Scott Andrew CrossleySpecial Education/Data Science Institute, Vanderbilt UniversityEmail confirmado em vanderbilt.edu
Juan Miguel Andres-BrayMcGraw Hill EducationEmail confirmado em mheducation.com
Valerie ShuteFlorida State UniversityEmail confirmado em fsu.edu
Adriana de CarvalhoEmail confirmado em cs.cmu.edu
Jody Clarke-MiduraUtah State UniversityEmail confirmado em usu.edu
Shiming KaiDoctoral Research FellowEmail confirmado em tc.columbia.edu
Yoav BergnerAssociate Professor, New York UniversityEmail confirmado em nyu.edu
Mihai DascaluProfessor, University Politehnica of Bucharest; Academy of Romanian ScientistsEmail confirmado em upb.ro

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Luc Paquette

Associate Professor, University of Illinois at Urbana-Champaign

Email confirmado em illinois.edu - Página inicial

Educational Data Mining Learning Analytics Cognitive Modeling Student Behavior Modeling Digital Learning Environments


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Combining click-stream data with NLP tools to better understand MOOC completion S Crossley, L Paquette, M Dascalu, DS McNamara, RS Baker Proceedings of the Sixth International Conference on Learning Analytics …, 2016	219	2016
Detecting and addressing frustration in a serious game for military training JA DeFalco, JP Rowe, L Paquette, V Georgoulas-Sherry, K Brawner, ... International Journal of Artificial Intelligence in Education 28, 152-193, 2018	147	2018
Expert feature-engineering vs. deep neural networks: which is better for sensor-free affect detection? Y Jiang, N Bosch, RS Baker, L Paquette, J Ocumpaugh, JMAL Andres, ... Artificial Intelligence in Education: 19th International Conference, AIED …, 2018	103	2018
Language to Completion: Success in an Educational Data Mining Massive Open Online Class. S Crossley, DS McNamara, R Baker, Y Wang, L Paquette, T Barnes, ... International Educational Data Mining Society, 2015	78	2015
Who’s learning? Using demographics in EDM research L Paquette, A Andres, J Ocumpaugh, R Baker, Z Li	77	2020
Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models M Zhu, Y Bergner, Y Zhang, R Baker, Y Wang, L Paquette Proceedings of the Sixth International Conference on Learning Analytics …, 2016	73	2016
Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system L Paquette, RS Baker Interactive Learning Environments 27 (5-6), 585-597, 2019	63	2019
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection L Paquette, B Mott, K Brawner, J Rowe, J Lester, R Sottilare, R Baker, ...	59*
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments A Munshi, R Rajendran, J Ocumpaugh, G Biswas, RS Baker, L Paquette Proceedings of the 26th Conference on User Modeling, Adaptation and …, 2018	58	2018
Analysing adaptive scaffolds that help students develop self‐regulated learning behaviours A Munshi, G Biswas, R Baker, J Ocumpaugh, S Hutt, L Paquette Journal of Computer Assisted Learning 39 (2), 351-368, 2023	57	2023
Towards Understanding Expert Coding of Student Disengagement in Online Learning. L Paquette, AMJB de Carvalho, RS Baker CogSci, 2014	56	2014
Data mining methods for assessing self-regulated learning G Biswas, RS Baker, L Paquette Handbook of self-regulation of learning and performance, 388-403, 2017	55	2017
A longitudinal study on learner career advancement in moocs Y Wang, L Paquette, R Baker Journal of Learning Analytics 1 (3), 203-206, 2014	50	2014
Sensor-free affect detection for a simulation-based science inquiry learning environment L Paquette, RSJ Baker, MA Sao Pedro, JD Gobert, L Rossi, A Nakama, ... Intelligent Tutoring Systems: 12th International Conference, ITS 2014 …, 2014	48	2014
Affect Sequences and Learning in Betty's Brain JMAL Andres, J Ocumpaugh, RS Baker, S Slater, L Paquette, Y Jiang, ... Proceedings of the 9th International Conference on Learning Analytics …, 2019	44	2019
A Comparison of Video-Based and Interaction-Based Affect Detectors in Physics Playground. S Kai, L Paquette, RS Baker, N Bosch, S D'Mello, J Ocumpaugh, V Shute, ... International Educational Data Mining Society, 2015	42	2015
Improving affect detection in game-based learning with multimodal data fusion N Henderson, J Rowe, L Paquette, RS Baker, J Lester Artificial Intelligence in Education: 21st International Conference, AIED …, 2020	38	2020
Note-taking and science inquiry in an open-ended learning environment Y Jiang, J Clarke-Midura, B Keller, RS Baker, L Paquette, J Ocumpaugh Contemporary Educational Psychology 55, 12-29, 2018	36	2018
Cross-system transfer of machine learned and knowledge engineered models of gaming the system L Paquette, RS Baker, A de Carvalho, J Ocumpaugh User Modeling, Adaptation and Personalization: 23rd International Conference …, 2015	35	2015
Predicting Student Retention from Behavior in an Online Orientation Course. S Kai, JML Andres, L Paquette, RS Baker, K Molnar, H Watkins, M Moore International Educational Data Mining Society, 2017	34	2017

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