L. Enciso

Early Prediction of Student Dropout Through Machine Learning in Educational Data Mining: A Comparative Analysis of Algorithms and Data Balancing Techniques

This research presents the development of a predictive model to address student dropout in higher education, using advanced artificial intelligence techniques, specifically in the field of machine learning. To this end, the CRISP-DM methodology is followed, and a set of administrative and academic data is analyzed, app...