Exemplifying Computational Thinking Scenarios in the Age of COVID-19: Examining the Pandemic's Effects in a Project-Based MOOC. - Juan D. Pinto; Chris Quintana; Rebecca M. Quintana; Sharon Broude Geva; Dirk Colbry (Comput. Sci. Eng., 2020)

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)

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)

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)

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)

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)

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

Large language models for whole-learner support: opportunities and challenges. - Amogh Mannekote; Adam Davies; Juan D. Pinto; Shan Zhang; Daniel Olds; Noah L. Schroeder; Blair Lehman; Diego Zapata-Rivera; Chengxiang Zhai (Frontiers Artif. Intell., 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)