Publication:
Analyzing the determinant characteristics for a good performance at enade brazilian exam stratified by teaching modality: face-to-face versus online

Date

2022

Authors

Gondran, Eric
Berri, Rafael A.
Santos, Helida
Borges, Eduardo N.

Director

Publisher

SciTePress
Acceso abierto / Sarbide irekia
Contribución a congreso / Biltzarrerako ekarpena
Versión publicada / Argitaratu den bertsioa

Project identifier

Abstract

The National Student Performance Exam (ENADE) annually evaluates different Brazilian higher education courses. This exam considers both face-to-face and distance learning courses. Distance learning is growing increasingly, especially during the coronavirus (COVID-19) pandemic. This study applies different techniques for selecting ENADE 2018 database characteristics, like information gain, gain rate, symmetric uncertainty, Pearson correlation, and relief F. The objective of the work is to discover which personal and socioeconomic characteristics are decisive for the student's performance at ENADE, whether the student is in the context of Distance Education or face-to-face. It can be concluded, among other results, that: the father's level of education directly influences performance; the higher the income, the better the performance; and white students have better performance than black and brown-skinned ones. Thus, the results obtained in this study may initiate analyzes of public policies towards improving performance at ENADE.

Description

Keywords

Data science, Educational data mining, ENADE, Feature selection

Department

Estadística, Informática y Matemáticas / Estatistika, Informatika eta Matematika

Faculty/School

Degree

Doctorate program

item.page.cita

Gondran, E., Lucca, G., Berri, R., Santos, H., & Borges, E. (2022). Analyzing the determinant characteristics for a good performance at enade brazilian exam stratified by teaching modality: Face-to-face versus online: Proceedings of the 24th International Conference on Enterprise Information Systems, 234-242. https://doi.org/10.5220/0011070600003179

item.page.rights

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

Los documentos de Academica-e están protegidos por derechos de autor con todos los derechos reservados, a no ser que se indique lo contrario.