Valdes P.R.; Rodriguez F.P. (2025). Prediction and Explainability of Teacher Attrition in Chile: A Data Science Approach. https://doi.org/10.1109/SCCC67219.2025.11420595
Valenzuela, JP; Rodriguez, P; Kuzmanic, D; Claro, S (2024). Inequalities in learning loss during the COVID-19 pandemic in Chile: the significance of school effectiveness. (35), 95-115 https://doi.org/10.1080/09243453.2024.2328016
Valdes P.R. (2024). Analysis of trajectories of students in higher technical-professional education using data mining methods. https://doi.org/10.1109/SCCC63879.2024.10767663
Kuzmanic, D.; Meneses, F.; Valenzuela, JP.; Rodríguez, P.; Claro, S. (2024). Inequalities in Learning Loss during the COVID-19 Pandemic in Chile. https://doi.org/10.1080/09243453.2024.2328016
Valenzuela, JP; Rodriguez, P; Villanueva, Alexis.; Dombrovskaia, L; Dombrovskaia, Lioubov.; Villanueva, A (2023). A methodology to design, develop, and evaluate machine learning models for predicting dropout in school systems: the case of Chile. EDUCATION AND INFORMATION TECHNOLOGIES, (28), 10103-10149 https://doi.org/10.1007/s10639-022-11515-5