Luc Paquette

88 papers A* 1A 17B 30C 3Journal 19Unranked 15
YearRankTypeTitle / Venue / Authors
2025 B conf
A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors.
EDM
Juan D. Pinto, Luc Paquette
2025 J jnl
A constraints-based approach to fully interpretable neural networks for detecting learner behaviors.
CoRR
Juan D. Pinto, Luc Paquette
2025 J jnl
Conditional and Marginal Strengths of Affect Transitions During Computer-Based Learning.
Int. J. Artif. Intell. Educ.
Yingbin Zhang, Luc Paquette, Nigel Bosch
2025 — conf
Investigating the Presence and Development of Student Instructor Preferences in a Large-Scale CS1 Course.
SIGCSE (1)
Yiqiu Zhou, Luc Paquette, Geoffrey Challen
2025 B ed.
Proceedings of the 18th International Conference on Educational Data Mining, EDM 2025, Palermo, Italy, July 20-23, 2025
EDM
Caitlin Mills, Giora Alexandron, Davide Taibi, Giosuè Lo Bosco, Luc Paquette
2025 B conf
The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop.
EDM
Vinitra Swamy, Jakub Kuzilek, Juan D. Pinto, Luc Paquette, Tanja Käser, Qianhui Liu, Lea Cohausz
2025 J jnl
The Quick Red Fox gets the best Data Driven Classroom Interviews: A manual for an interview app and its associated methodology.
CoRR
Jaclyn Ocumpaugh, Luc Paquette, Ryan Shaun Baker, Amanda Barany, Jeff Ginger, Nathan Casano, Andres Felipe Zambrano, Xiner Liu, Zhanlan Wei, Yiqui Zhou, Qianhui Liu, Stephen Hutt, Alexandra M. A. Andres, Nidhi Nasiar, Camille Giordano, Martin Van Velsen, Micheal Mogessi
2024 J jnl
Academic procrastination, incentivized and self-selected spaced practice, and quiz performance in an online programming problem system: An intensive longitudinal investigation.
Comput. Educ.
Yingbin Zhang, Luc Paquette, Xiaoyong Hu
2024 B conf
An Exploratory Analysis of Students' Problem-Solving Strategies in the Water Cycle Game.
EDM
Jing Zhang, Luc Paquette
2024 — conf
Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers.
CSEDM@EDM
Qianhui Liu, Luc Paquette
2024 J jnl
Deep Learning for Educational Data Science.
CoRR
Juan D. Pinto, Luc Paquette
2024 B conf
Human-Centric eXplainable AI in Education (HEXED) Workshop.
EDM
Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz
2024 B conf
Intrinsically Interpretable Artificial Neural Networks for Learner Modeling.
EDM
Juan D. Pinto, Luc Paquette, Nigel Bosch
2024 B conf
Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection Analysis.
EDM
Yiqiu Zhou, Luc Paquette
2024 J jnl
Investigating the reliability of aggregate measurements of learning process data: From theory to practice.
J. Comput. Assist. Learn.
Yingbin Zhang, Yafei Ye, Luc Paquette, Yibo Wang, Xiaoyong Hu
2024 — ed.
Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024.
HEXED/L3MNGET@EDM
Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew S. Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace A. Walkington
2024 — conf
Preface.
HEXED/L3MNGET@EDM
Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz
2024 — conf
Towards a Unified Framework for Evaluating Explanations.
HEXED/L3MNGET@EDM
Juan D. Pinto, Luc Paquette
2024 J jnl
Towards a Unified Framework for Evaluating Explanations.
CoRR
Juan D. Pinto, Luc Paquette
2024 J jnl
Using Sequential Pattern Mining to Understand How Students Use Guidance While Doing Scientific Calculations.
Technol. Knowl. Learn.
Sjors Verstege, Yingbin Zhang, Peter Wierenga, Luc Paquette, Julia Diederen
2023 J jnl
Analysing adaptive scaffolds that help students develop self-regulated learning behaviours.
J. Comput. Assist. Learn.
Anabil Munshi, Gautam Biswas, Ryan Baker, Jaclyn Ocumpaugh, Stephen Hutt, Luc Paquette
2023 J jnl
Combining latent profile analysis and programming traces to understand novices' differences in debugging.
Educ. Inf. Technol.
Yingbin Zhang, Luc Paquette, Juan D. Pinto, Qianhui Liu, Aysa Xuemo Fan
2023 — conf
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.
EMNLP (Findings)
Aysa Xuemo Fan, Haoran Zhang, Luc Paquette, Rui Zhang
2023 J jnl
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.
CoRR
Aysa Xuemo Fan, Ranran Haoran Zhang, Luc Paquette, Rui Zhang
2023 — conf
Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course.
ICQE
Juan D. Pinto, Qianhui Liu, Luc Paquette, Yingbin Zhang, Aysa Xuemo Fan
2023 J jnl
Sequential pattern mining in educational data: The application context, potential, strengths, and limitations.
CoRR
Yingbin Zhang, Luc Paquette
2023 A conf
Using submission log data to investigate novice programmers' employment of debugging strategies.
LAK
Qianhui Liu, Luc Paquette
2023 J jnl
Utilizing programming traces to explore and model the dimensions of novices' code-writing skill.
Comput. Appl. Eng. Educ.
Yingbin Zhang, Luc Paquette, Juan D. Pinto, Aysa Xuemo Fan
2021 — conf
Affect-Targeted Interviews for Understanding Student Frustration.
AIED (1)
Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas
2021 J jnl
Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain.
J. Learn. Anal.
Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Gautam Biswas, Anabil Munshi
2021 — conf
Investigating Elements of Student Persistence in an Introductory Computer Science Course (Full Paper).
EDM (Workshops)
Juan D. Pinto, Yingbin Zhang, Luc Paquette, Aysa Xuemo Fan
2021 B conf
Mining sequential patterns with high usage variation.
EDM
Yingbin Zhang, Luc Paquette
2021 B conf
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning.
EDM
Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker
2021 A* conf
Students' Verbalized Metacognition During Computerized Learning.
CHI
Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas
2021 B conf
Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations.
CogSci
Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Anabil Munshi, Nigel Bosch, Ryan S. Baker, Yingbin Zhang, Luc Paquette, Stefan Slater, Gautam Biswas
2020 B conf
"Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums.
EDM
Nigel Bosch, R. Wes Crues, Najmuddin Shaik, Luc Paquette
2020 B conf
An effect-size-based temporal interestingness metric for sequential pattern mining.
EDM
Yingbin Zhang, Luc Paquette
2020 B conf
Erroneous Answers Categorization for Sketching Questions in Spatial Visualization Training.
EDM
Tiffany Wenting Li, Luc Paquette
2020 B conf
Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models.
EDM
Debopam Sanyal, Nigel Bosch, Luc Paquette
2020 B conf
Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving.
EDM
Paul Hur, Nigel Bosch, Luc Paquette, Emma Mercier
2020 — conf
Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion.
AIED (1)
Nathan L. Henderson, Jonathan P. Rowe, Luc Paquette, Ryan S. Baker, James C. Lester
2020 — ed.
Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, EDM 2019 Workshops, Montréal, Canada, July 2-5, 2019.
EDM (Workshops)
Luc Paquette, Cristóbal Romero
2020 — conf
Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments.
AIED (1)
Anabil Munshi, Shitanshu Mishra, Ningyu Zhang, Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas
2020 A conf
The relationship between confusion and metacognitive strategies in Betty's Brain.
LAK
Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Anabil Munshi, Gautam Biswas
2020 — conf
Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment.
ICQE
Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker
2019 A conf
Affect Sequences and Learning in Betty's Brain.
LAK
Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang, Shamya Karumbaiah, Nigel Bosch, Anabil Munshi, Allison L. Moore, Gautam Biswas
2019 J jnl
Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system.
Interact. Learn. Environ.
Luc Paquette, Ryan S. Baker
2018 — conf
A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere.
AIED (2)
Luc Paquette, Ryan S. Baker, Michal Moskal
2018 J jnl
Detecting and Addressing Frustration in a Serious Game for Military Training.
Int. J. Artif. Intell. Educ.
Jeanine DeFalco, Jonathan P. Rowe, Luc Paquette, Vasiliki Georgoulas, Keith W. Brawner, Bradford W. Mott, Ryan S. Baker, James C. Lester
2018 — conf
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?
AIED (1)
Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas
2018 — conf
Matching Data-Driven Models of Group Interactions to Video Analysis of Collaborative Problem Solving on Tablet Computers.
ICLS
Luc Paquette, Nigel Bosch, Emma Mercier, JiYoon Jung, Saadeddine Shehab, Yurui Tong
2018 J jnl
Metrics for Discrete Student Models: Chance Levels, Comparisons, and Use Cases.
J. Learn. Anal.
Nigel Bosch, Luc Paquette
2018 A conf
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments.
UMAP
Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Gautam Biswas, Ryan S. Baker, Luc Paquette
2017 A conf
Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion.
AIED
Jaclyn Ocumpaugh, Juan Miguel L. Andres, Ryan S. Baker, Jeanine DeFalco, Luc Paquette, Jonathan P. Rowe, Bradford W. Mott, James C. Lester, Vasiliki Georgoulas, Keith W. Brawner, Robert A. Sottilare
2017 B conf
Predicting Student Retention from Behavior in an Online Orientation Course.
EDM
Shimin Kai, Juan Miguel L. Andres, Luc Paquette, Ryan S. Baker, Kati Molnar, Harriet Watkins, Michael Moore
2017 B ed.
Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017
EDM
Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette
2017 A conf
Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments.
AIED
Luc Paquette, Ryan S. Baker
2017 A conf
Workshop on integrated learning analytics of MOOC post-course development.
LAK
Yuan Wang, Dan Davis, Guanliang Chen, Luc Paquette
2016 B conf
Classifying behavior to elucidate elegant problem solving in an educational game.
EDM
Laura J. Malkiewich, Ryan S. Baker, Valerie Shute, Shiming Kai, Luc Paquette
2016 A conf
Combining click-stream data with NLP tools to better understand MOOC completion.
LAK
Scott A. Crossley, Luc Paquette, Mihai Dascalu, Danielle S. McNamara, Ryan S. Baker
2016 A conf
Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models.
LAK
Mengxiao Zhu, Yoav Bergner, Yan Zhang, Ryan S. Baker, Yuan Wang, Luc Paquette
2015 B conf
A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground.
EDM
Shiming Kai, Luc Paquette, Ryan S. Baker, Nigel Bosch, Sidney K. D'Mello, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura
2015 B conf
Comparing Novice and Experienced Students in Virtual Performance Assessments.
EDM
Yang Jiang, Luc Paquette, Ryan S. Baker, Jody Clarke-Midura
2015 A conf
Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System.
UMAP
Luc Paquette, Ryan Shaun Baker, Adriana M. J. B. de Carvalho, Jaclyn Ocumpaugh
2015 J jnl
Designing a Knowledge Representation Approach for the Generation of Pedagogical Interventions by MTTs.
Int. J. Artif. Intell. Educ.
Luc Paquette, Jean-François Lebeau, Gabriel Beaulieu, André Mayers
2015 B conf
Language to Completion: Success in an Educational Data Mining Massive Open Online Class.
EDM
Scott A. Crossley, Danielle S. McNamara, Ryan S. Baker, Yuan Wang, Luc Paquette, Tiffany Barnes, Yoav Bergner
2015 A conf
Learning, Moment-by-Moment and Over the Long Term.
AIED
Yang Jiang, Ryan Shaun Joazeiro de Baker, Luc Paquette, Maria Ofelia Clarissa Z. San Pedro, Neil T. Heffernan
2015 B conf
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection.
EDM
Luc Paquette, Jonathan P. Rowe, Ryan S. Baker, Bradford W. Mott, James C. Lester, Jeanine DeFalco, Keith W. Brawner, Robert A. Sottilare, Vasiliki Georgoulas
2015 B conf
Simulating Multi-Subject Momentary Time Sampling.
EDM
Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker
2014 J jnl
A Longitudinal Study on Learner Career Advancement in MOOCs.
J. Learn. Anal.
Yuan Wang, Luc Paquette, Ryan Baker
2014 C conf
An Exploratory Analysis of Confusion Among Students Using Newton's Playground.
ICCE
Juan Miguel L. Andres, Ma. Mercedes T. Rodrigo, Jessica O. Sugay, Ryan Baker, Luc Paquette, Valerie Shute, Matthew Ventura, Matthew Small
2014 — conf
Identifying Transfer of Inquiry Skills across Physical Science Simulations using Educational Data Mining.
ICLS
Michael Sao Pedro, Yang Jiang, Luc Paquette, Ryan S. Baker, Janice D. Gobert
2014 B conf
Reengineering the Feature Distillation Process: A case study in detection of Gaming the System.
EDM
Luc Paquette, Adriana M. J. B. de Carvalho, Ryan S. Baker, Jaclyn Ocumpaugh
2014 B conf
Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment.
Intelligent Tutoring Systems
Luc Paquette, Ryan Shaun Joazeiro de Baker, Michael A. Sao Pedro, Janice D. Gobert, Lisa M. Rossi, Adam Nakama, Zakkai Kauffman-Rogoff
2014 B conf
Towards Understanding Expert Coding of Student Disengagement in Online Learning.
CogSci
Luc Paquette, Adriana M. J. B. de Carvalho, Ryan Shaun Baker
2013 A conf
Authoring Problem-Solving ITS with ASTUS: An Interactive Event.
AIED
Luc Paquette, Jean-François Lebeau, André Mayers
2013 A conf
Diagnosing Errors from Off-Path Steps in Model-Tracing Tutors.
AIED
Luc Paquette, Jean-François Lebeau, André Mayers
2013 C conf
Engaging Early Engineering Students (EEES).
FIE
Claudia E. Vergara, Daina Briedis, Neeraj Buch, J. Courtney, N. Ehrlich, C. A. McDonough, Jon Sticklen, Mark Urban-Lurain, C. Weil, Thomas Wolff, R. S. DeGraaf, R. Heckman, Luc Paquette
2012 B conf
Automating Next-Step Hints Generation Using ASTUS.
ITS
Luc Paquette, Jean-François Lebeau, Gabriel Beaulieu, André Mayers
2012 A conf
Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors.
UMAP
Luc Paquette, Jean-François Lebeau, André Mayers
2011 A conf
Authoring Step-Based ITS with ASTUS: An Interactive Event.
AIED
Jean-François Lebeau, Luc Paquette, André Mayers
2011 A conf
Generating Task-Specific Next-Step Hints Using Domain-Independent Structures.
AIED
Luc Paquette, Jean-François Lebeau, Jean Pierre Mbungira, André Mayers
2010 B conf
An Authoring Language as a Key to Usability in a Problem-Solving ITS Framework.
Intelligent Tutoring Systems (2)
Jean-François Lebeau, Luc Paquette, Mikaël Fortin, André Mayers
2010 B conf
Authoring Problem-Solving ITS with ASTUS.
Intelligent Tutoring Systems (2)
Jean-François Lebeau, Luc Paquette, André Mayers
2010 — ch.
Authoring Problem-Solving Tutors: A Comparison between ASTUS and CTAT.
Advances in Intelligent Tutoring Systems
Luc Paquette, Jean-François Lebeau, André Mayers
2010 B conf
Integrating Sophisticated Domain-Independent Pedagogical Behaviors in an ITS Framework.
Intelligent Tutoring Systems (2)
Luc Paquette, Jean-François Lebeau, André Mayers
2009 C conf
Design Challenges for Mobile Assistive Technologies Applied to People with Cognitive Impairments.
ICOST
Andrée-Anne Boisvert, Luc Paquette, Hélène Pigot, Sylvain Giroux
2009 A conf
From Cognitive to Pedagogical Knowledge Models in Problem-Solving ITS Frameworks.
AIED
Jean-François Lebeau, Mikaël Fortin, Luc Paquette, André Mayers