In recent years, in the field of education, there has been a clear progressive trend toward
precision education. As a rapidly evolving AI technique, machine learning is viewed as an …

This study provides a comprehensive review of the phenomenon of students dropping out
from tertiary education. Student withdrawal is the result of a long decision‐making process …

Data mining is employed to extract useful information and to detect patterns from often large
data sets, closely related to knowledge discovery in databases and data science. In this …

The discovery of the 2D nanostructure of graphene was in fact the beginning of a new
generation of materials. Graphene itself, its oxidized form graphene oxide (GO), the reduced …

Student-teachers' dropout is a complicated and serious issue in the learning process, with its
attendant negative implications on students, academic institutions, economic resources, and …

University dropout rates are a problem that presents many negative consequences. It is an
academic issue and carries an unfavorable economic impact. In recent years, significant …

Background: Dropout in higher education is a concern for students, families, educational
institutions, and society. Tertiary education is an important mechanism for empowering …

Abstract Resumen Background: The aim of the study was to analyze the influence of
potentially important individual variables (motivation, satisfaction with the course, self …

This paper combines a theoretical-based model with a data-driven approach to develop an
Early Warning System that detects students who are more likely to dropout. The model uses …

University dropout is a phenomenon of growing interest due to the high financial costs that it
involves for both families and states. Various variables have been studied in order to …