Edwin Guamán-Hidalgo

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, enabling early and personalized interventions that can prevent students from dropping out of their degree program...