Purpose This study aims at developing an instrument to measure the latent trait propensity to
drop out in face-to-face higher education. Design/methodology/approach Based on Tinto's …

Data mining is the process of extracting useful and valuable information from vast amounts
of data. Algorithms and various tools to use are some of the most popular data mining …

Predicting student dropout is essential for universities dealing with high attrition rates. This
study compares two feature selection (FS) methods—correlation-based feature selection …

The escalating integration of machine learning (ML) in higher education necessitates a
critical examination of its ethical implications. This article conducts a comprehensive review …

This study examines the application of the Random Forest Classifier (RF) model in
predicting academic success among adult learners in higher education. It focuses on …

Este trabajo presenta la aplicación de técnicas de ciencia de datos orientada a la predicción
de patrones de deserción estudiantil cuyo caso de estudio corresponde a información …

This quantitative study investigates the predictive power of machine learning (ML) models
on degree completion among adult learners in higher education, emphasizing the …

O componente que é considerado um dos mais importantes para o sucesso acadêmico é o
sucesso profissional e a orientação profissional correta impulsiona o desempenho dos …