Title
Factors to predict dropout at the universities: A case of study in Ecuador
Date Issued
23 May 2018
Access level
metadata only access
Resource Type
conference paper
Author(s)
Mayra A.
Universidad Técnica de Cotopaxi
Publisher(s)
IEEE Computer Society
Abstract
The dropout at the universities has become a concern in several countries around the world, its high rates generate negative consequences for students and organizations. Based on the analysis of the educative, organizational theories, and the logic reasoning were established 11 factors that influenced in the dropout. This research as an objective to design a model to determine new factors to predict the dropout in which the dimension of analysis were the students, the institutions, the academic context and the social and economic environment. Additionally, trying through the use of Logistical Regression, Decision Tree and Support Vector Machine if the proposed factors are related and or may contribute predicting the dropout at the universities of Ecuador.
Start page
1238
End page
1242
Volume
2018-April
Language
English
OCDE Knowledge area
Ciencias de la computación
Educación general (incluye capacitación, pedadogía)
Subjects
Scopus EID
2-s2.0-85048136267
ISSN of the container
21659559
ISBN of the container
9781538629574
Conference
IEEE Global Engineering Education Conference, EDUCON: 2018 IEEE Global Engineering Education Conference - Emerging Trends and Challenges of Engineering Education, EDUCON 2018
Sources of information:
Directorio de Producción Científica
Scopus