Luc Paquette

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 44

Top Topics

Novice Programmers

Learning Environment

Sequential Pattern Mining

Top Venues

Publications

Yingbin Zhang, Yafei Ye, Luc Paquette, Yibo Wang, Xiaoyong Hu
Investigating the reliability of aggregate measurements of learning process data: From theory to practice. J. Comput. Assist. Learn. 40 (3) (2024)
Juan D. Pinto, Luc Paquette
Towards a Unified Framework for Evaluating Explanations. CoRR (2024)
Juan D. Pinto, Luc Paquette
Deep Learning for Educational Data Science. CoRR (2024)
Yingbin Zhang, Luc Paquette, Xiaoyong Hu
Academic procrastination, incentivized and self-selected spaced practice, and quiz performance in an online programming problem system: An intensive longitudinal investigation. Comput. Educ. 214 (2024)
Sjors Verstege, Yingbin Zhang, Peter Wierenga, Luc Paquette, Julia Diederen
Using Sequential Pattern Mining to Understand How Students Use Guidance While Doing Scientific Calculations. Technol. Knowl. Learn. 29 (2) (2024)
Yingbin Zhang, Luc Paquette, Juan D. Pinto, Qianhui Liu, Aysa Xuemo Fan
Combining latent profile analysis and programming traces to understand novices' differences in debugging. Educ. Inf. Technol. 28 (4) (2023)
Yingbin Zhang, Luc Paquette, Juan D. Pinto, Aysa Xuemo Fan
Utilizing programming traces to explore and model the dimensions of novices' code-writing skill. Comput. Appl. Eng. Educ. 31 (4) (2023)
Yingbin Zhang, Luc Paquette
Sequential pattern mining in educational data: The application context, potential, strengths, and limitations. CoRR (2023)
Aysa Xuemo Fan, Ranran Haoran Zhang, Luc Paquette, Rui Zhang
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses. CoRR (2023)
Juan D. Pinto, Qianhui Liu, Luc Paquette, Yingbin Zhang, Aysa Xuemo Fan
Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course. ICQE (2023)
Anabil Munshi, Gautam Biswas, Ryan Baker, Jaclyn Ocumpaugh, Stephen Hutt, Luc Paquette
Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. J. Comput. Assist. Learn. 39 (2) (2023)
Qianhui Liu, Luc Paquette
Using submission log data to investigate novice programmers' employment of debugging strategies. LAK (2023)
Aysa Xuemo Fan, Haoran Zhang, Luc Paquette, Rui Zhang
Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses. EMNLP (Findings) (2023)
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
Affect-Targeted Interviews for Understanding Student Frustration. AIED (1) (2021)
Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Anabil Munshi, Nigel Bosch, Ryan S. Baker, Yingbin Zhang, Luc Paquette, Stefan Slater, Gautam Biswas
Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. CogSci (2021)
Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Gautam Biswas, Anabil Munshi
Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain. J. Learn. Anal. 8 (3) (2021)
Yingbin Zhang, Luc Paquette
Mining sequential patterns with high usage variation. EDM (2021)
Juan D. Pinto, Yingbin Zhang, Luc Paquette, Aysa Xuemo Fan
Investigating Elements of Student Persistence in an Introductory Computer Science Course (Full Paper). EDM (Workshops) (2021)
Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. EDM (2021)
Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas
Students' Verbalized Metacognition During Computerized Learning. CHI (2021)
Anabil Munshi, Shitanshu Mishra, Ningyu Zhang, Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas
Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments. AIED (1) (2020)
Tiffany Wenting Li, Luc Paquette
Erroneous Answers Categorization for Sketching Questions in Spatial Visualization Training. EDM (2020)
Yingbin Zhang, Luc Paquette
An effect-size-based temporal interestingness metric for sequential pattern mining. EDM (2020)
Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Anabil Munshi, Gautam Biswas
The relationship between confusion and metacognitive strategies in Betty's Brain. LAK (2020)
Paul Hur, Nigel Bosch, Luc Paquette, Emma Mercier
Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving. EDM (2020)
Debopam Sanyal, Nigel Bosch, Luc Paquette
Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models. EDM (2020)
Nathan L. Henderson, Jonathan P. Rowe, Luc Paquette, Ryan S. Baker, James C. Lester
Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion. AIED (1) (2020)
Nigel Bosch, R. Wes Crues, Najmuddin Shaik, Luc Paquette
"Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums. EDM (2020)
Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker
Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment. ICQE (2020)
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
Affect Sequences and Learning in Betty's Brain. LAK (2019)
Luc Paquette, Ryan S. Baker
Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system. Interact. Learn. Environ. 27 (5-6) (2019)
Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? AIED (1) (2018)
Luc Paquette, Ryan S. Baker, Michal Moskal
A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere. AIED (2) (2018)
Jeanine DeFalco, Jonathan P. Rowe, Luc Paquette, Vasiliki Georgoulas, Keith W. Brawner, Bradford W. Mott, Ryan S. Baker, James C. Lester
Detecting and Addressing Frustration in a Serious Game for Military Training. Int. J. Artif. Intell. Educ. 28 (2) (2018)
Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Gautam Biswas, Ryan S. Baker, Luc Paquette
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments. UMAP (2018)
Nigel Bosch, Luc Paquette
Metrics for Discrete Student Models: Chance Levels, Comparisons, and Use Cases. J. Learn. Anal. 5 (2) (2018)
Luc Paquette, Nigel Bosch, Emma Mercier, Jiyoon Jung, Saadeddine Shehab, Yurui Tong
Matching Data-Driven Models of Group Interactions to Video Analysis of Collaborative Problem Solving on Tablet Computers. ICLS (2018)
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
Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion. AIED (2017)
Yuan Wang, Dan Davis, Guanliang Chen, Luc Paquette
Workshop on integrated learning analytics of MOOC post-course development. LAK (2017)
Luc Paquette, Ryan S. Baker
Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments. AIED (2017)
Shimin Kai, Juan Miguel L. Andres, Luc Paquette, Ryan S. Baker, Kati Molnar, Harriet Watkins, Michael Moore
Predicting Student Retention from Behavior in an Online Orientation Course. EDM (2017)
Mengxiao Zhu, Yoav Bergner, Yan Zhang, Ryan S. Baker, Yuan Wang, Luc Paquette
Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models. LAK (2016)
Laura J. Malkiewich, Ryan S. Baker, Valerie Shute, Shiming Kai, Luc Paquette
Classifying behavior to elucidate elegant problem solving in an educational game. EDM (2016)
Scott A. Crossley, Luc Paquette, Mihai Dascalu, Danielle S. McNamara, Ryan S. Baker
Combining click-stream data with NLP tools to better understand MOOC completion. LAK (2016)
Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker
Simulating Multi-Subject Momentary Time Sampling. EDM (2015)
Shiming Kai, Luc Paquette, Ryan S. Baker, Nigel Bosch, Sidney K. D'Mello, Jaclyn Ocumpaugh, Valerie Shute, Matthew Ventura
A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground. EDM (2015)
Scott A. Crossley, Danielle S. McNamara, Ryan S. Baker, Yuan Wang, Luc Paquette, Tiffany Barnes, Yoav Bergner
Language to Completion: Success in an Educational Data Mining Massive Open Online Class. EDM (2015)
Yang Jiang, Ryan Shaun Joazeiro de Baker, Luc Paquette, Maria Ofelia Clarissa Z. San Pedro, Neil T. Heffernan
Learning, Moment-by-Moment and Over the Long Term. AIED (2015)
Luc Paquette, Ryan Shaun Baker, Adriana M. J. B. de Carvalho, Jaclyn Ocumpaugh
Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System. UMAP (2015)
Luc Paquette, Jean-François Lebeau, Gabriel Beaulieu, André Mayers
Designing a Knowledge Representation Approach for the Generation of Pedagogical Interventions by MTTs. Int. J. Artif. Intell. Educ. 25 (1) (2015)
Luc Paquette, Jonathan P. Rowe, Ryan S. Baker, Bradford W. Mott, James C. Lester, Jeanine DeFalco, Keith W. Brawner, Robert A. Sottilare, Vasiliki Georgoulas
Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection. EDM (2015)
Yang Jiang, Luc Paquette, Ryan S. Baker, Jody Clarke-Midura
Comparing Novice and Experienced Students in Virtual Performance Assessments. EDM (2015)
Luc Paquette, Adriana M. J. B. de Carvalho, Ryan S. Baker, Jaclyn Ocumpaugh
Reengineering the Feature Distillation Process: A case study in detection of Gaming the System. EDM (2014)
Luc Paquette, Ryan Shaun Joazeiro de Baker, Michael A. Sao Pedro, Janice D. Gobert, Lisa M. Rossi, Adam Nakama, Zakkai Kauffman-Rogoff
Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment. Intelligent Tutoring Systems (2014)
Luc Paquette, Adriana M. J. B. de Carvalho, Ryan Shaun Baker
Towards Understanding Expert Coding of Student Disengagement in Online Learning. CogSci (2014)
Yuan Wang, Luc Paquette, Ryan Baker
A Longitudinal Study on Learner Career Advancement in MOOCs. J. Learn. Anal. 1 (3) (2014)
Michael Sao Pedro, Yang Jiang, Luc Paquette, Ryan S. Baker, Janice D. Gobert
Identifying Transfer of Inquiry Skills across Physical Science Simulations using Educational Data Mining. ICLS (2014)
Claudia E. Vergara, Daina Briedis, Neeraj Buch, J. Courtney, N. Ehrlich, C. A. McDonough, Jon Sticklen, Mark Urban-Lurain, C. Weil, T. Wolff, R. S. DeGraaf, R. Heckman, Luc Paquette
Engaging Early Engineering Students (EEES). FIE (2013)
Luc Paquette, Jean-François Lebeau, André Mayers
Authoring Problem-Solving ITS with ASTUS: An Interactive Event. AIED (2013)
Luc Paquette, Jean-François Lebeau, André Mayers
Diagnosing Errors from Off-Path Steps in Model-Tracing Tutors. AIED (2013)
Luc Paquette, Jean-François Lebeau, Gabriel Beaulieu, André Mayers
Automating Next-Step Hints Generation Using ASTUS. ITS (2012)
Luc Paquette, Jean-François Lebeau, André Mayers
Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors. UMAP (2012)
Luc Paquette, Jean-François Lebeau, Jean Pierre Mbungira, André Mayers
Generating Task-Specific Next-Step Hints Using Domain-Independent Structures. AIED (2011)
Jean-François Lebeau, Luc Paquette, André Mayers
Authoring Step-Based ITS with ASTUS: An Interactive Event. AIED (2011)
Luc Paquette, Jean-François Lebeau, André Mayers
Integrating Sophisticated Domain-Independent Pedagogical Behaviors in an ITS Framework. Intelligent Tutoring Systems (2) (2010)
Jean-François Lebeau, Luc Paquette, André Mayers
Authoring Problem-Solving ITS with ASTUS. Intelligent Tutoring Systems (2) (2010)
Jean-François Lebeau, Luc Paquette, Mikaël Fortin, André Mayers
An Authoring Language as a Key to Usability in a Problem-Solving ITS Framework. Intelligent Tutoring Systems (2) (2010)
Andrée-Anne Boisvert, Luc Paquette, Hélène Pigot, Sylvain Giroux
Design Challenges for Mobile Assistive Technologies Applied to People with Cognitive Impairments. ICOST (2009)
Jean-François Lebeau, Mikaël Fortin, Luc Paquette, André Mayers
From Cognitive to Pedagogical Knowledge Models in Problem-Solving ITS Frameworks. AIED (2009)