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Juan D. Pinto
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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
142020
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
92022
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
82021
Applications of explainable AI (XAI) in education
Q Liu, JD Pinto, L Paquette
Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets …, 2024
72024
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
72023
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
72023
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
62021
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
42023
Deep learning for educational data science
JD Pinto, L Paquette
Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets …, 2024
32024
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
22023
Human-Centric eXplainable AI in Education (HEXED) Workshop
JD Pinto, L Paquette, V Swamy, T Käser, Q Liu, L Cohausz
International Educational Data Mining Conference 2024, 2024
12024
Towards a Unified Framework for Evaluating Explanations
JD Pinto, L Paquette
Human-Centric eXplainable AI in Education Workshop (HEXED), 2024
12024
Large language models for whole-learner support: Opportunities and challenges
A Mannekote, A Davies, JD Pinto, S Zhang, D Olds, NL Schroeder, ...
Frontiers in Artificial Intelligence 7, 1460364, 2024
2024
Preface to the Proceedings of the Human-Centric eXplainable AI in Education Workshop (HEXED 2024)
JD Pinto, L Paquette, V Swamy, T Käser, Q Liu, L Cohausz
CEUR Workshop Proceedings 3840, 2024
2024
Using LLM-based Filtering to Develop Reliable Coding Schemes for Rare Debugging Strategies
AX Fan, Q Liu, L Paquette, J Pinto
International Conference on Quantitative Ethnography 2024, 2024
2024
Intrinsically Interpretable Artificial Neural Networks for Learner Modeling
JD Pinto, L Paquette, N Bosch
Human-Centric eXplainable AI in Education Workshop (HEXED), 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
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