PROPOSIÇÃO DE INDICADORES PARA O CORPO DISCENTE E ANÁLISE DE AGRUPAMENTOS APLICADA AOS CURSOS DE GRADUAÇÃO DA UFES

Abstract

This study has proposed performance indicators for undergraduate students of Universidade Federal do Espírito Santo (Ufes) and tested the potential use of these indicators as classifiers for the undergraduate courses of that institution by running the statistical method of cluster analysis. The proposed indicators were: number of applicants per vacancy in the entrance system, number of enrolled freshmen, total number of enrolled students, number of degreed students, number of dropout students, number of students engaged in research, failure rate, delay in course completion, ENADE (Student Performance National Exam) grade and CPC (Course Preliminary Concept) grade. Electing six out of these ten indicators, the cluster analysis divided the 63 courses in four very distinct groups. The first group contains courses with high rate of applicants per vacancy and high number of enrolled freshmen; the second group contains courses with high number of students engaged in research; the third group contains courses with high delay in completion; and the fourth group contains courses with high failure and dropout rates. Discriminant analysis was used to validate the results with three discriminant functions statistically significant, and correctly classifying 98.6% of the cases under analysis.

Keywords

• indicators for undergraduate students
• undergraduate courses
• cluster analysis
• discriminant analysis