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2020 – today
- 2024
[j12]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: 105029 (2024)- [j11]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): 1295-1308 (2024) - [j10]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): 897-920 (2024) - [c58]Qianhui Liu, Luc Paquette:
Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers. CSEDM@EDM 2024 - [c57]Juan D. Pinto, Luc Paquette, Nigel Bosch:
Intrinsically Interpretable Artificial Neural Networks for Learner Modeling. EDM 2024 - [c56]Juan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz:
Human-Centric eXplainable AI in Education (HEXED) Workshop. EDM 2024 - [c55]Jing Zhang, Luc Paquette:
An Exploratory Analysis of Students' Problem-Solving Strategies in the Water Cycle Game. EDM 2024 - [c54]Yiqiu Zhou, Luc Paquette:
Investigating Student Interest in a Minecraft Game-Based Learning Environment: A Changepoint Detection Analysis. EDM 2024 - [i4]Juan D. Pinto, Luc Paquette:
Deep Learning for Educational Data Science. CoRR abs/2404.19675 (2024) - [i3]Juan D. Pinto, Luc Paquette:
Towards a Unified Framework for Evaluating Explanations. CoRR abs/2405.14016 (2024) - 2023
- [j9]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): 1041-1058 (2023) - [j8]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): 4673-4701 (2023) - [j7]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): 351-368 (2023) - [c53]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: 7406-7421 - [c52]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: 125-139 - [c51]Qianhui Liu, Luc Paquette:
Using submission log data to investigate novice programmers' employment of debugging strategies. LAK 2023: 637-643 - [i2]Yingbin Zhang, Luc Paquette:
Sequential pattern mining in educational data: The application context, potential, strengths, and limitations. CoRR abs/2302.01932 (2023) - [i1]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 abs/2310.15317 (2023) - 2021
- [j6]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): 28-44 (2021) - [c50]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: 52-63 - [c49]Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas:
Students' Verbalized Metacognition During Computerized Learning. CHI 2021: 680:1-680:12 - [c48]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 - [c47]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 - [c46]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 - [c45]Yingbin Zhang, Luc Paquette:
Mining sequential patterns with high usage variation. EDM 2021 - 2020
- [c44]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: 228-239 - [c43]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: 411-422 - [c42]Nigel Bosch, R. Wes Crues, Najmuddin Shaik, Luc Paquette:
"Hello, [REDACTED]": Protecting Student Privacy in Analyses of Online Discussion Forums. EDM 2020 - [c41]Paul Hur, Nigel Bosch, Luc Paquette, Emma Mercier:
Harbingers of Collaboration? The Role of Early-Class Behaviors in Predicting Collaborative Problem Solving. EDM 2020 - [c40]Tiffany Wenting Li, Luc Paquette:
Erroneous Answers Categorization for Sketching Questions in Spatial Visualization Training. EDM 2020 - [c39]Debopam Sanyal, Nigel Bosch, Luc Paquette:
Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models. EDM 2020 - [c38]Yingbin Zhang, Luc Paquette:
An effect-size-based temporal interestingness metric for sequential pattern mining. EDM 2020 - [c37]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: 185-201 - [c36]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: 276-284 - [e2]Luc Paquette, Cristóbal Romero:
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. CEUR Workshop Proceedings 2592, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j5]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): 585-597 (2019) - [c35]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: 383-390 - 2018
- [j4]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): 152-193 (2018) - [j3]Nigel Bosch, Luc Paquette:
Metrics for Discrete Student Models: Chance Levels, Comparisons, and Use Cases. J. Learn. Anal. 5(2) (2018) - [c34]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: 198-211 - [c33]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: 257-260 - [c32]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 - [c31]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: 131-138 - 2017
- [c30]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: 238-249 - [c29]Luc Paquette, Ryan S. Baker:
Variations of Gaming Behaviors Across Populations of Students and Across Learning Environments. AIED 2017: 274-286 - [c28]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 - [c27]Yuan Wang, Dan Davis, Guanliang Chen, Luc Paquette:
Workshop on integrated learning analytics of MOOC post-course development. LAK 2017: 506-507 - [e1]Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette:
Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. International Educational Data Mining Society (IEDMS) 2017 [contents] - 2016
- [c26]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: 448-453 - [c25]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: 6-14 - [c24]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: 223-230 - 2015
- [j2]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): 118-156 (2015) - [c23]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: 654-657 - [c22]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: 77-84 - [c21]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: 93-100 - [c20]Yang Jiang, Luc Paquette, Ryan S. Baker, Jody Clarke-Midura:
Comparing Novice and Experienced Students in Virtual Performance Assessments. EDM 2015: 136-143 - [c19]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: 388-391 - [c18]Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker:
Simulating Multi-Subject Momentary Time Sampling. EDM 2015: 586-587 - [c17]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: 183-194 - 2014
- [j1]Yuan Wang, Luc Paquette, Ryan Baker:
A Longitudinal Study on Learner Career Advancement in MOOCs. J. Learn. Anal. 1(3): 203-206 (2014) - [c16]Luc Paquette, Adriana M. J. B. de Carvalho, Ryan Shaun Baker:
Towards Understanding Expert Coding of Student Disengagement in Online Learning. CogSci 2014 - [c15]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: 284-287 - [c14]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 - [c13]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: 1-10 - 2013
- [c12]Luc Paquette, Jean-François Lebeau, André Mayers:
Diagnosing Errors from Off-Path Steps in Model-Tracing Tutors. AIED 2013: 611-614 - [c11]Luc Paquette, Jean-François Lebeau, André Mayers:
Authoring Problem-Solving ITS with ASTUS: An Interactive Event. AIED 2013: 934-935 - [c10]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:
Engaging Early Engineering Students (EEES). FIE 2013: 340-342 - 2012
- [c9]Luc Paquette, Jean-François Lebeau, Gabriel Beaulieu, André Mayers:
Automating Next-Step Hints Generation Using ASTUS. ITS 2012: 201-211 - [c8]Luc Paquette, Jean-François Lebeau, André Mayers:
Automating the Modeling of Learners' Erroneous Behaviors in Model-Tracing Tutors. UMAP 2012: 316-321 - 2011
- [c7]Luc Paquette, Jean-François Lebeau, Jean Pierre Mbungira, André Mayers:
Generating Task-Specific Next-Step Hints Using Domain-Independent Structures. AIED 2011: 525-527 - [c6]Jean-François Lebeau, Luc Paquette, André Mayers:
Authoring Step-Based ITS with ASTUS: An Interactive Event. AIED 2011: 622 - 2010
- [c5]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: 236-238 - [c4]Luc Paquette, Jean-François Lebeau, André Mayers:
Integrating Sophisticated Domain-Independent Pedagogical Behaviors in an ITS Framework. Intelligent Tutoring Systems (2) 2010: 248-250 - [c3]Jean-François Lebeau, Luc Paquette, André Mayers:
Authoring Problem-Solving ITS with ASTUS. Intelligent Tutoring Systems (2) 2010: 450 - [p1]Luc Paquette, Jean-François Lebeau, André Mayers:
Authoring Problem-Solving Tutors: A Comparison between ASTUS and CTAT. Advances in Intelligent Tutoring Systems 2010: 377-405
2000 – 2009
- 2009
- [c2]Jean-François Lebeau, Mikaël Fortin, Luc Paquette, André Mayers:
From Cognitive to Pedagogical Knowledge Models in Problem-Solving ITS Frameworks. AIED 2009: 731-733 - [c1]Andrée-Anne Boisvert, Luc Paquette, Hélène Pigot, Sylvain Giroux:
Design Challenges for Mobile Assistive Technologies Applied to People with Cognitive Impairments. ICOST 2009: 17-24
Coauthor Index
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last updated on 2024-10-31 21:09 CET by the dblp team
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