Biography

Luc Paquette is an assistant professor in the department of curriculum & instruction. He completed his PhD in computer science at the University of Sherbrooke where he studied the design knowledge representations for intelligent tutoring systems and the use of those representations to automatically generate pedagogical content. After his PhD, professor Paquette worked as a post-doctoral research associate at Teachers College, Columbia University where he used educational data mining techniques and knowledge engineering techniques to study the behavior of students using digital learning environment.

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Education

Ph.D., Computer Science, University of Sherbrooke, 2013

Research & Service

Professor Paquette is interested in the study of students' behaviors as they use digital learning environments. To achieve this objective, he applies educational data mining, learning analytics and knowledge engineering approaches to identify and model pedagogically relevant behaviors. Professor Paquette is also interested in the usage of those model to study the relationship between those behaviors and learning outcomes, improve the design of digital learning environments and support the teachers’ usage of those environments in their classroom.

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Publications

Andres, J., Rodrigo, M., Baker, R., Paquette, L., Shute, V., & Ventura, M. (2015) Analyzing Student Action Sequences and Affect While Playing Physics Playground Proceedings of the International Workshop on Affect, Meta-Affect, Data and Learning

Baker, R., DeFalco, J., Paquette, L., Georgoulas, V., Rowe, J., Mott, B., & Lester, J. (2015) Motivational Feedback Designs for Frustration in a Simulation-based Combat Medic Training Environment Proceedings of the 3rd Annual GIFT Users Symposium

Beaulieu, G., Paquette, L., & Mayers, A. (2015) Un modèle pour la gestion automatisé de buts de succès dans les tuteurs par traçage de modèle Proceedings of the 7th Conference on Environnement Intelligent pour l'Apprentissage Humain

Crossley, S., McNamara, D., Baker, R., Wang, Y., Paquette, L., Barnes, T., & Bergner, Y. (2015) Language to Completion: Success in Educational Data Mining Massive Open Online Class Proceedings of the 8th International Conference on Educational Data Mining

Jiang, Y., Baker, R., Paquette, L., San Pedro, M., & Heffernan, N. (2015) Learning, Moment-by-Moment and Over the Long Term Proceedings of the 17th International Conference on Artificial Intelligence in Education

Jiang, Y., Paquette, L., Baker, R., & Clarke-Midura, J. (2015) Comparing Novice and Experienced Students in Virtual Performance Assessments Proceedings of the 8th International Conference on Educational Data Mining

Kai, S., Paquette, L., Baker, R., Bosch, N., D'Mello, S., Ocumpaugh, J., Shute, V., & Ventura, M. (2015) A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground Proceedings of the 8th International Conference on Educational Data Mining

Paquette, L., Baker, R., de Carvalho, A., & Ocumpaugh, J. (2015) Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System Proceedings of the 23rd Conference on User Modelling, Adaptation and Personalization

Paquette, L., Lebeau, J., Beaulieu, G., & Mayers, A. (2015) Designing a Knowledge Representation Approach for the Generation of Pedagogical Interventions by MTTs International Journal of Artificial Intelligence in Education 25 (1), 118-156

Paquette, L., Ocumpaugh, J., & Baker, R. (2015) Simulating Multi-Subject Momentary Time Sampling Proceedings of the 8th International Conference on Educational Data Mining

Paquette, L., Rowe, J., Baker, R., Mott, B., Lester, J., DeFalco, J., Brawner, K., Sottilare, R., & Georgoulas, V. (2015) Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection Proceedings of the 8th International Conference on Educational Data Mining

Wang, Y., Paquette, L., & Baker, R. (2014) A Longitudinal Study on Learner Career Advancement in MOOCs Journal of Learning Analytics 1 (3), 203-206

Andres, J., Rodrigo, M., Sugay, J., Baker, R., Paquette, L., Shute, V., Ventura, M., & Small, M. (2014) An Exploratory Analysis of Confusion Among Students Using Newton's Playground Proceedings of the 22nd International Conference on Computers in Education

Baker, R., DeFalco, J., Ocumpaugh, J., & Paquette, L. (2014) Towards Detection of Engagement and Affect in a Simulation-Based Combat Medic Training Environment 2nd Annual GIFT User Symposium (GIFTSym2)

Paquette, L., Baker, R., Sao Pedro, M., Gobert, J., Rossi, L., Nakama, A., & Kauffman-Rogoff, Z. (2014) Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment Proceedings of the 12th International Conference on Intelligent Tutoring Systems

Paquette, L., de Carvalho, A., & Baker, R. (2014) Achieving a Better Understanding of how Expert Classify Students Gaming and Intelligent Tutor Through Cognitive Modeling Proceedings of the 36th Annual Cognitive Science Conference

Paquette, L., de Carvalho, A., Baker, R., & Ocumpaugh, J. (2014) Reengineering the Feature Distillation Process: A Case Study in the Detection of Gaming the System Proceedings of the 7th International Conference on Educational Data Mining

Sao Pedro, M., Jiang, Y., Paquette, L., Baker, R., & Gobert, J. (2014) Identifying Transfer of Inquiry Skills Across Physical Science Simulations Using Educational Data Mining Proceedings of the 11th International Conference of the Learning Sciences

Paquette, L., Lebeau, J., & Mayers, A. (2013) Diagnosing Errors from Off-Path Steps in Model-Tracing Tutors Proceedings of the 16th Conference on Artificial Intelligence in Education

Paquette, L., Lebeau, J., & Mayers, A. (2013) La plateforme Astus : Une alternative aux systèmes de productions pour la création de tuteur par traçage de modèle Proceedings of the 6th Conference on Environnement Intelligent pour l'Apprentissage Humain

Paquette, L., Lebeau, J., & Mayers, A. (2012) Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization

Paquette, L., Lebeau, J., Beaulieu, G., & Mayers, A. (2012) Automating Next-Step Hints Generation Using ASTUS Proceedings of the 11th International Conference on Intelligent Tutoring Systems

Paquette, L., Lebeau, J., Mbungira, J., & Mayers, A. (2011) Generating Task-Specific Next-Step Hints Using Domain-Independent Structures Proceedings of the 15th International Conference on Artificial Intelligence in Education

Lebeau, J., Paquette, L., Fortin, M., & Mayers, A. (2010) An Authoring Language as a Key to Usability in a Problem-Solving ITS Framework Proceedings of the 10th International Conference on Intelligent Tutoring Systems (part II)

Paquette, L., Lebeau, J., & Mayers, A. (2010) Authoring Problem-Solving Tutors: A Comparison Between ASTUS and CTAT Advances in Intelligent Tutoring System

Paquette, L., Lebeau, J., & Mayers, A. (2010) Integrating Sophisticated Domain-Independent Pedagogical Behaviors in an ITS Framework Proceedings of the 10th International Conference on Intelligent Tutoring Systems (part II)

Boisvert, A., Paquette, L., Pigot, H., & Giroux, S. (2009) Design Challenges for Mobile Assistive Technologies Applied to People with Cognitive Impairments Proceedings of the 7th International Conference on Smart Homes and Health Telematics

Lebeau, J., Fortin, M., Paquette, L., & Mayers, A. (2009) From Cognitive to Pedagogical Knowledge Models in Problem-Solving ITS Frameworks Proceedings of the 14th International Conference on Artificial Intelligence in Education

Luc Paquette

Assistant Professor, Curriculum & Instruction

Contact

Office

383 Education Building
1310 S. Sixth St.
Champaign, IL 61820

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