Luc Paquette
Cited by
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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
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
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
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
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
Who’s learning? Using demographics in EDM research
L Paquette, A Andres, J Ocumpaugh, R Baker, Z Li
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, ...
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
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
Towards understanding expert coding of student disengagement in online learning
L Paquette, AMJA de Carvalho, RS Baker
36th Annual Meeting of the Cognitive Science Society, CogSci 2014, 1126-1131, 2014
A longitudinal study on learner career advancement in moocs
Y Wang, L Paquette, R Baker
Journal of Learning Analytics 1 (3), 203-206, 2014
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
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
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
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
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
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
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
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
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
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