Luc Paquette

Orcid: 0000-0002-2738-3190

According to our database1, Luc Paquette authored at least 76 papers between 2009 and 2024.

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Bibliography

2024
Using Sequential Pattern Mining to Understand How Students Use Guidance While Doing Scientific Calculations.
Technol. Knowl. Learn., June, 2024

Investigating the reliability of aggregate measurements of learning process data: From theory to practice.
J. Comput. Assist. Learn., June, 2024

Towards a Unified Framework for Evaluating Explanations.
CoRR, 2024

Deep Learning for Educational Data Science.
CoRR, 2024

Academic procrastination, incentivized and self-selected spaced practice, and quiz performance in an online programming problem system: An intensive longitudinal investigation.
Comput. Educ., 2024

Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection Analysis.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

An Exploratory Analysis of Students' Problem-Solving Strategies in the Water Cycle Game.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Preface.
Proceedings of the 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), 2024

Human-Centric eXplainable AI in Education (HEXED) Workshop.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Intrinsically Interpretable Artificial Neural Networks for Learner Modeling.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Towards a Unified Framework for Evaluating Explanations.
Proceedings of the 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), 2024

Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers.
Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), 2024

2023
Utilizing programming traces to explore and model the dimensions of novices' code-writing skill.
Comput. Appl. Eng. Educ., July, 2023

Analysing adaptive scaffolds that help students develop self-regulated learning behaviours.
J. Comput. Assist. Learn., April, 2023

Combining latent profile analysis and programming traces to understand novices' differences in debugging.
Educ. Inf. Technol., April, 2023

Sequential pattern mining in educational data: The application context, potential, strengths, and limitations.
CoRR, 2023

Using submission log data to investigate novice programmers' employment of debugging strategies.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course.
Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021
Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain.
J. Learn. Anal., October, 2021

Mining sequential patterns with high usage variation.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Investigating Elements of Student Persistence in an Introductory Computer Science Course (Full Paper).
Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning.
Proceedings of the 14th International Conference on Educational Data Mining, 2021

Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Students' Verbalized Metacognition During Computerized Learning.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Affect-Targeted Interviews for Understanding Student Frustration.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
The relationship between confusion and metacognitive strategies in Betty's Brain.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment.
Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

An effect-size-based temporal interestingness metric for sequential pattern mining.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Erroneous Answers Categorization for Sketching Questions in Spatial Visualization Training.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

"Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Comparing machine learning to knowledge engineering for student behavior modeling: a case study in gaming the system.
Interact. Learn. Environ., 2019

Affect Sequences and Learning in Betty's Brain.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

2018
Metrics for Discrete Student Models: Chance Levels, Comparisons, and Use Cases.
J. Learn. Anal., August, 2018

Detecting and Addressing Frustration in a Serious Game for Military Training.
Int. J. Artif. Intell. Educ., 2018

Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Matching Data-Driven Models of Group Interactions to Video Analysis of Collaborative Problem Solving on Tablet Computers.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

A System-General Model for the Detection of Gaming the System Behavior in CTAT and LearnSphere.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Workshop on integrated learning analytics of MOOC post-course development.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Predicting Student Retention from Behavior in an Online Orientation Course.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

Affect Dynamics in Military Trainees Using vMedic: From Engaged Concentration to Boredom to Confusion.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017

2016
Longitudinal engagement, performance, and social connectivity: a MOOC case study using exponential random graph models.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Combining click-stream data with NLP tools to better understand MOOC completion.
Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Classifying behavior to elucidate elegant problem solving in an educational game.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015
Designing a Knowledge Representation Approach for the Generation of Pedagogical Interventions by MTTs.
Int. J. Artif. Intell. Educ., 2015

Cross-System Transfer of Machine Learned and Knowledge Engineered Models of Gaming the System.
Proceedings of the User Modeling, Adaptation and Personalization, 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, 2015

Simulating Multi-Subject Momentary Time Sampling.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

A Comparison of Face-based and Interaction-based Affect Detectors in Physics Playground.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Comparing Novice and Experienced Students in Virtual Performance Assessments.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Language to Completion: Success in an Educational Data Mining Massive Open Online Class.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Learning, Moment-by-Moment and Over the Long Term.
Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014
A Longitudinal Study on Learner Career Advancement in MOOCs.
J. Learn. Anal., November, 2014

Sensor-Free Affect Detection for a Simulation-Based Science Inquiry Learning Environment.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Identifying Transfer of Inquiry Skills across Physical Science Simulations using Educational Data Mining.
Proceedings of the Learning and Becoming in Practice: Proceedings of the 11th International Conference of the Learning Sciences, 2014

Reengineering the Feature Distillation Process: A case study in detection of Gaming the System.
Proceedings of the 7th International Conference on Educational Data Mining, 2014

Towards Understanding Expert Coding of Student Disengagement in Online Learning.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Engaging Early Engineering Students (EEES).
Proceedings of the IEEE Frontiers in Education Conference, 2013

Authoring Problem-Solving ITS with ASTUS: An Interactive Event.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Diagnosing Errors from Off-Path Steps in Model-Tracing Tutors.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors.
Proceedings of the User Modeling, Adaptation, and Personalization, 2012

Automating Next-Step Hints Generation Using ASTUS.
Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

2011
Generating Task-Specific Next-Step Hints Using Domain-Independent Structures.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Authoring Step-Based ITS with ASTUS: An Interactive Event.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010
Authoring Problem-Solving Tutors: A Comparison between ASTUS and CTAT.
Proceedings of the Advances in Intelligent Tutoring Systems, 2010

Integrating Sophisticated Domain-Independent Pedagogical Behaviors in an ITS Framework.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

Authoring Problem-Solving ITS with ASTUS.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

An Authoring Language as a Key to Usability in a Problem-Solving ITS Framework.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

2009
Design Challenges for Mobile Assistive Technologies Applied to People with Cognitive Impairments.
Proceedings of the Ambient Assistive Health and Wellness Management in the Heart of the City, 2009

From Cognitive to Pedagogical Knowledge Models in Problem-Solving ITS Frameworks.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009


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