DATA MINING MODEL TO IDENTIFY THE FACTORS THAT AFFECT THE ACADEMIC ADVANCEMENT OF HIGHER EDUCATION STUDENTS

Abstract:

Academic desertion within the university system constitutes a challenge for Higher Education Institutions inside and outside the country, as a consequence of social, individual and institutional factors closely related to each other. Consequently, the study of early abandonment or cessation has been widely recognized as a serious problem, especially at the university level. Therefore, the ability to pbkp_redict a student's performance could be useful. With this idea, it is intended to use data mining for the early detection of students at risk of dropping out, analyzing information from students about: academic tutorials, grades, socio-economic data, among others, stored in databases, focusing on finding factors of the behavior of drop out. The aim is to create a data warehouse that will allow students to clean and transform their data, with the purpose of creating a database with information regarding student behavior factors in …

Año de publicación:

2018

Keywords:

Fuente:

google