| Exemplifying computational thinking scenarios in the age of COVID-19: Examining the pandemic's effects in a project-based MOOC JD Pinto, C Quintana, RM Quintana Computing in Science & Engineering 22 (6), 97-102, 2020 | 14 | 2020 |
| Investigating Elements of Student Persistence in an Introductory Computer Science Course JD Pinto, Y Zhang, L Paquette, AX Fan 5th Educational Data Mining in Computer Science Education (CSEDM) Workshop, 2021 | 8 | 2021 |
| Combining latent profile analysis and programming traces to understand novices’ differences in debugging Y Zhang, L Paquette, JD Pinto, Q Liu, AX Fan Education and Information Technologies, 2022 | 5 | 2022 |
| What We Learned When We Compared Discussion Posts from One MOOC Hosted on Two Platforms. RM Quintana, JD Pinto, Y Tan Online Learning 25 (4), 2021 | 5 | 2021 |
| Utilizing programming traces to explore and model the dimensions of novices' code‐writing skill Y Zhang, L Paquette, JD Pinto, AX Fan Computer Applications in Engineering Education 31 (4), 1041-1058, 2023 | 3 | 2023 |
| Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course JD Pinto, Q Liu, L Paquette, Y Zhang, AX Fan International Conference on Quantitative Ethnography (ICQE), 2023 | 2 | 2023 |
| Interpretable neural networks vs. expert-defined models for learner behavior detection JD Pinto, L Paquette, N Bosch The 13th International Learning Analytics and Knowledge Conference (LAK), 2023 | 2 | 2023 |
| Deep Learning for Educational Data Science JD Pinto, L Paquette arXiv preprint arXiv:2404.19675, 2024 | 1 | 2024 |
| Using Problem Similarity- and Order-based Weighting to Model Learner Performance in Introductory Computer Science Problems Y Zhang, JD Pinto, AX Fan, L Paquette Journal of Educational Data Mining 15 (1), 63-99, 2023 | 1 | 2023 |
| Towards a Unified Framework for Evaluating Explanations JD Pinto, L Paquette arXiv preprint arXiv:2405.14016, 2024 | | 2024 |
| Intelligent tutors, cultural blind spots: Implications of underrepresentation in adaptive learning research JD Pinto International Society of the Learning Sciences Annual Meeting (ISLS 2023), 2023 | | 2023 |
| Utilizing programming traces to explore the dimensions of novice programmers' code writing skill Y Zhang, L Paquette, JD Pinto, AX Fan 6th Educational Data Mining in Computer Science Education (CSEDM) Workshop, 2022 | | 2022 |
| Exploring how learners integrate personally meaningful issues in a project-based MOOC JD Pinto, C Quintana, RM Quintana 2021 Annual Meeting of the American Educational Research Association (AERA), 2021 | | 2021 |
| Creating a frequency dictionary of spoken Hebrew: A reproducible use of technology to overcome scarcity of data JD Pinto University of Texas at Austin, 2018 | | 2018 |
Luc PaquetteAssociate Professor, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
