Using machine learning methods to identify significant variables for the prediction of first-year Informatics Engineering students dropout FA Bello, J Kóhler, K Hinrechsen, V Araya, L Hidalgo, JL Jara 2020 39th International Conference of the Chilean Computer Science Society …, 2020 | 14 | 2020 |
Domain-driven event abstraction framework for learning dynamics in MOOCs sessions L Hidalgo, J Munoz-Gama International Conference on Process Mining, 552-564, 2022 | 3 | 2022 |
A domain-driven framework to analyze learning dynamics in MOOCs through event abstraction L Hidalgo, J Munoz-Gama Applied Sciences 13 (5), 3039, 2023 | 2 | 2023 |
Using machine learning techniques to predict academic success in an introductory programming course J Köhler, L Hidalgo, JL Jara 2022 41st International Conference of the Chilean Computer Science Society, 1-8, 2022 | 2 | 2022 |
Predicting Students’ Outcome in an Introductory Programming Course: Leveraging the Student Background J Köhler, L Hidalgo, JL Jara Applied Sciences 13 (21), 2023 | | 2023 |