From Cognitive to Pedagogical Knowledge Models in Problem-Solving ITS Frameworks. - Jean-François Lebeau; Mikaël Fortin; Luc Paquette; André Mayers (AIED, 2009)

Design Challenges for Mobile Assistive Technologies Applied to People with Cognitive Impairments. - Andrée-Anne Boisvert; Luc Paquette; Hélène Pigot; Sylvain Giroux (ICOST, 2009)

An Authoring Language as a Key to Usability in a Problem-Solving ITS Framework. - Jean-François Lebeau; Luc Paquette; Mikaël Fortin; André Mayers (Intelligent Tutoring Systems (2), 2010)

Authoring Problem-Solving ITS with ASTUS. - Jean-François Lebeau; Luc Paquette; André Mayers (Intelligent Tutoring Systems (2), 2010)

Integrating Sophisticated Domain-Independent Pedagogical Behaviors in an ITS Framework. - Luc Paquette; Jean-François Lebeau; André Mayers (Intelligent Tutoring Systems (2), 2010)

Authoring Problem-Solving Tutors: A Comparison between ASTUS and CTAT. - Luc Paquette; Jean-François Lebeau; André Mayers (Advances in Intelligent Tutoring Systems, 2010)

Authoring Step-Based ITS with ASTUS: An Interactive Event. - Jean-François Lebeau; Luc Paquette; André Mayers (AIED, 2011)

Generating Task-Specific Next-Step Hints Using Domain-Independent Structures. - Luc Paquette; Jean-François Lebeau; Jean Pierre Mbungira; André Mayers (AIED, 2011)

Automating Next-Step Hints Generation Using ASTUS. - Luc Paquette; Jean-François Lebeau; Gabriel Beaulieu; André Mayers (ITS, 2012)

Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors. - Luc Paquette; Jean-François Lebeau; André Mayers (UMAP, 2012)

Diagnosing Errors from Off-Path Steps in Model-Tracing Tutors. - Luc Paquette; Jean-François Lebeau; André Mayers (AIED, 2013)

Authoring Problem-Solving ITS with ASTUS: An Interactive Event. - Luc Paquette; Jean-François Lebeau; André Mayers (AIED, 2013)

Engaging Early Engineering Students (EEES). - 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; et al. (FIE, 2013)

Towards Understanding Expert Coding of Student Disengagement in Online Learning. - Luc Paquette; Adriana M. J. B. de Carvalho; Ryan Shaun Baker (CogSci, 2014)

Reengineering the Feature Distillation Process: A case study in detection of Gaming the System. - Luc Paquette; Adriana M. J. B. de Carvalho; Ryan S. Baker 001; Jaclyn Ocumpaugh (EDM, 2014)

An Exploratory Analysis of Confusion Among Students Using Newton's Playground. - Juan Miguel L. Andres; Ma. Mercedes T. Rodrigo; Jessica O. Sugay; Ryan Baker 001; Luc Paquette; Valerie Shute; Matthew Ventura; Matthew Small (ICCE, 2014)

Identifying Transfer of Inquiry Skills across Physical Science Simulations using Educational Data Mining. - Michael Sao Pedro; Yang Jiang; Luc Paquette; Ryan S. Baker 001; Janice D. Gobert (ICLS, 2014)

Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment. - Luc Paquette; Ryan Shaun Joazeiro de Baker; Michael A. Sao Pedro; Janice D. Gobert; Lisa M. Rossi; Adam Nakama; Zakkai Kauffman-Rogoff (Intelligent Tutoring Systems, 2014)

A Longitudinal Study on Learner Career Advancement in MOOCs. - Yuan Wang; Luc Paquette; Ryan Baker 001 (J. Learn. Anal., 2014)

Learning, Moment-by-Moment and Over the Long Term. - Yang Jiang; Ryan Shaun Joazeiro de Baker; Luc Paquette; Maria Ofelia Clarissa Z. San Pedro; Neil T. Heffernan (AIED, 2015)

Language to Completion: Success in an Educational Data Mining Massive Open Online Class. - Scott A. Crossley; Danielle S. McNamara; Ryan S. Baker 001; Yuan Wang; Luc Paquette; Tiffany Barnes; Yoav Bergner (EDM, 2015)

Comparing Novice and Experienced Students in Virtual Performance Assessments. - Yang Jiang; Luc Paquette; Ryan S. Baker 001; Jody Clarke-Midura (EDM, 2015)

A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground. - Shiming Kai; Luc Paquette; Ryan S. Baker 001; Nigel Bosch; Sidney K. D'Mello; Jaclyn Ocumpaugh; Valerie Shute; Matthew Ventura (EDM, 2015)

Simulating Multi-Subject Momentary Time Sampling. - Luc Paquette; Jaclyn Ocumpaugh; Ryan S. Baker 001 (EDM, 2015)

Sensor-Free or Sensor-Full: A Comparison of Data Modalities in Multi-Channel Affect Detection. - Luc Paquette; Jonathan P. Rowe; Ryan S. Baker 001; Bradford W. Mott; James C. Lester; Jeanine DeFalco; Keith W. Brawner; Robert A. Sottilare; Vasiliki Georgoulas (EDM, 2015)

Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System. - Luc Paquette; Ryan Shaun Baker; Adriana M. J. B. de Carvalho; Jaclyn Ocumpaugh (UMAP, 2015)

Designing a Knowledge Representation Approach for the Generation of Pedagogical Interventions by MTTs. - Luc Paquette; Jean-François Lebeau; Gabriel Beaulieu; André Mayers (Int. J. Artif. Intell. Educ., 2015)

Classifying behavior to elucidate elegant problem solving in an educational game. - Laura J. Malkiewich; Ryan S. Baker 001; Valerie Shute; Shiming Kai; Luc Paquette (EDM, 2016)

Combining click-stream data with NLP tools to better understand MOOC completion. - Scott A. Crossley; Luc Paquette; Mihai Dascalu; Danielle S. McNamara; Ryan S. Baker 001 (LAK, 2016)

Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models. - Mengxiao Zhu 001; Yoav Bergner; Yan Zhang; Ryan S. Baker 001; Yuan Wang; Luc Paquette (LAK, 2016)

Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion. - Jaclyn Ocumpaugh; Juan Miguel L. Andres; Ryan S. Baker 001; Jeanine DeFalco; Luc Paquette; Jonathan P. Rowe; Bradford W. Mott; James C. Lester; Vasiliki Georgoulas; Keith W. Brawner; Robert A. Sottilare (AIED, 2017)

Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments. - Luc Paquette; Ryan S. Baker 001 (AIED, 2017)

Predicting Student Retention from Behavior in an Online Orientation Course. - Shimin Kai; Juan Miguel L. Andres; Luc Paquette; Ryan S. Baker 001; Kati Molnar; Harriet Watkins; Michael Moore (EDM, 2017)

Workshop on integrated learning analytics of MOOC post-course development. - Yuan Wang; Dan Davis; Guanliang Chen; Luc Paquette (LAK, 2017)

Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? - Yang Jiang; Nigel Bosch; Ryan S. Baker 001; Luc Paquette; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Allison L. Moore; Gautam Biswas (AIED (1), 2018)

A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere. - Luc Paquette; Ryan S. Baker 001; Michal Moskal (AIED (2), 2018)

Matching Data-Driven Models of Group Interactions to Video Analysis of Collaborative Problem Solving on Tablet Computers. - Luc Paquette; Nigel Bosch; Emma Mercier; Jiyoon Jung; Saadeddine Shehab; Yurui Tong (ICLS, 2018)

Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments. - Anabil Munshi; Ramkumar Rajendran; Jaclyn Ocumpaugh; Gautam Biswas; Ryan S. Baker 001; Luc Paquette (UMAP, 2018)

Detecting and Addressing Frustration in a Serious Game for Military Training. - Jeanine DeFalco; Jonathan P. Rowe; Luc Paquette; Vasiliki Georgoulas; Keith W. Brawner; Bradford W. Mott; Ryan S. Baker 001; James C. Lester (Int. J. Artif. Intell. Educ., 2018)

Metrics for Discrete Student Models: Chance Levels, Comparisons, and Use Cases. - Nigel Bosch; Luc Paquette (J. Learn. Anal., 2018)

Affect Sequences and Learning in Betty's Brain. - Juliana Ma. Alexandra L. Andres; Jaclyn Ocumpaugh; Ryan S. Baker 001; Stefan Slater; Luc Paquette; Yang Jiang; Shamya Karumbaiah; Nigel Bosch; Anabil Munshi; Allison L. Moore; Gautam Biswas (LAK, 2019)

Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system. - Luc Paquette; Ryan S. Baker 001 (Interact. Learn. Environ., 2019)

Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion. - Nathan L. Henderson; Jonathan P. Rowe; Luc Paquette; Ryan S. Baker 001; James C. Lester (AIED (1), 2020)

Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments. - Anabil Munshi; Shitanshu Mishra; Ningyu Zhang 002; Luc Paquette; Jaclyn Ocumpaugh; Ryan S. Baker 001; Gautam Biswas (AIED (1), 2020)

"Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums. - Nigel Bosch; R. Wes Crues; Najmuddin Shaik; Luc Paquette (EDM, 2020)

Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving. - Paul Hur; Nigel Bosch; Luc Paquette; Emma Mercier (EDM, 2020)

Erroneous Answers Categorization for Sketching Questions in Spatial Visualization Training. - Tiffany Wenting Li; Luc Paquette (EDM, 2020)

Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models. - Debopam Sanyal; Nigel Bosch; Luc Paquette (EDM, 2020)

An effect-size-based temporal interestingness metric for sequential pattern mining. - Yingbin Zhang; Luc Paquette (EDM, 2020)

Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment. - Luc Paquette; Theodore Grant; Yingbin Zhang; Gautam Biswas; Ryan Baker 001 (ICQE, 2020)

The relationship between confusion and metacognitive strategies in Betty's Brain. - Yingbin Zhang; Luc Paquette; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch; Anabil Munshi; Gautam Biswas (LAK, 2020)

Affect-Targeted Interviews for Understanding Student Frustration. - Ryan S. Baker 001; 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 (AIED (1), 2021)

Students' Verbalized Metacognition During Computerized Learning. - Nigel Bosch; Yingbin Zhang; Luc Paquette; Ryan Baker 001; Jaclyn Ocumpaugh; Gautam Biswas (CHI, 2021)

Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. - Stephen Hutt; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Anabil Munshi; Nigel Bosch; Ryan S. Baker 001; Yingbin Zhang; Luc Paquette; Stefan Slater; Gautam Biswas (CogSci, 2021)

Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. - Stephen Hutt; Jaclyn Ocumpaugh; Juliana Ma. Alexandra L. Andres; Nigel Bosch; Luc Paquette; Gautam Biswas; Ryan Baker 001 (EDM, 2021)

Investigating Elements of Student Persistence in an Introductory Computer Science Course (Full Paper). - Juan D. Pinto; Yingbin Zhang; Luc Paquette; Aysa Xuemo Fan (EDM (Workshops), 2021)

Mining sequential patterns with high usage variation. - Yingbin Zhang; Luc Paquette (EDM, 2021)

Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain. - Yingbin Zhang; Luc Paquette; Ryan S. Baker 001; Jaclyn Ocumpaugh; Nigel Bosch; Gautam Biswas; Anabil Munshi (J. Learn. Anal., 2021)

Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses. - Aysa Xuemo Fan; Haoran Zhang 004; Luc Paquette; Rui Zhang 037 (EMNLP (Findings), 2023)

Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course. - Juan D. Pinto; Qianhui Liu; Luc Paquette; Yingbin Zhang; Aysa Xuemo Fan (ICQE, 2023)

Using submission log data to investigate novice programmers' employment of debugging strategies. - Qianhui Liu; Luc Paquette (LAK, 2023)

Sequential pattern mining in educational data: The application context, potential, strengths, and limitations. - Yingbin Zhang; Luc Paquette (CoRR, 2023)

Combining latent profile analysis and programming traces to understand novices' differences in debugging. - Yingbin Zhang; Luc Paquette; Juan D. Pinto; Qianhui Liu; Aysa Xuemo Fan (Educ. Inf. Technol., 2023)

Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. - Anabil Munshi; Gautam Biswas; Ryan Baker 001; Jaclyn Ocumpaugh; Stephen Hutt; Luc Paquette (J. Comput. Assist. Learn., 2023)

Utilizing programming traces to explore and model the dimensions of novices' code-writing skill. - Yingbin Zhang; Luc Paquette; Juan D. Pinto; Aysa Xuemo Fan (Comput. Appl. Eng. Educ., 2023)

Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers. - Qianhui Liu; Luc Paquette (CSEDM@EDM, 2024)

Towards a Unified Framework for Evaluating Explanations. - Juan D. Pinto; Luc Paquette (HEXED/L3MNGET@EDM, 2024)

Intrinsically Interpretable Artificial Neural Networks for Learner Modeling. - Juan D. Pinto; Luc Paquette; Nigel Bosch (EDM, 2024)

Human-Centric eXplainable AI in Education (HEXED) Workshop. - Juan D. Pinto; Luc Paquette; Vinitra Swamy; Tanja Käser; Qianhui Liu; Lea Cohausz (EDM, 2024)

Preface. - Juan D. Pinto; Luc Paquette; Vinitra Swamy; Tanja Käser; Qianhui Liu; Lea Cohausz (HEXED/L3MNGET@EDM, 2024)

An Exploratory Analysis of Students' Problem-Solving Strategies in the Water Cycle Game. - Jing Zhang; Luc Paquette (EDM, 2024)

Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection Analysis. - Yiqiu Zhou; Luc Paquette (EDM, 2024)

Academic procrastination, incentivized and self-selected spaced practice, and quiz performance in an online programming problem system: An intensive longitudinal investigation. - Yingbin Zhang; Luc Paquette; Xiaoyong Hu (Comput. Educ., 2024)

Deep Learning for Educational Data Science. - Juan D. Pinto; Luc Paquette (CoRR, 2024)

Investigating the reliability of aggregate measurements of learning process data: From theory to practice. - Yingbin Zhang; Yafei Ye; Luc Paquette; Yibo Wang; Xiaoyong Hu (J. Comput. Assist. Learn., 2024)

Using Sequential Pattern Mining to Understand How Students Use Guidance While Doing Scientific Calculations. - Sjors Verstege; Yingbin Zhang; Peter Wierenga; Luc Paquette; Julia Diederen (Technol. Knowl. Learn., 2024)

A Constraints-Based Approach to Fully Interpretable Neural Networks for Detecting Learner Behaviors. - Juan D. Pinto; Luc Paquette (EDM, 2025)

The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop. - Vinitra Swamy; Jakub Kuzilek; Juan D. Pinto; Luc Paquette; Tanja Käser; Qianhui Liu; Lea Cohausz (EDM, 2025)

Investigating the Presence and Development of Student Instructor Preferences in a Large-Scale CS1 Course. - Yiqiu Zhou; Luc Paquette; Geoffrey Challen (SIGCSE (1), 2025)