Desenvolvimento de um Software para Análise de Evasão na Unipampa Campus Bagé Utilizando Técnicas de Mineração de Dados

Abstract

Dropping out is a big problem present in Universities, including in Universidade Federal do Pampa. This problem generates social, economical and academical losses. Studying this phenomena and tracing effective goals to avoid dropping out is indispensable to an appropriate use of resources of educational institutions. However, due to huge amount of available data, manual study is prohibitive. This work proposes the development of a software to process data of students from UNIPAMPA Bagé and the use of Knowledge Discovery in Databases techniques to discover patterns between data of students who dropped out. Studies realized with the data from the students of Computer Engineering, Food Engineering, Production Engineering, Chemical Engineering, Renewable Energy and Environment Engineering and Degree in Physics are listed. The patterns discovered will be used to create mechanisms to prevent dropping out in University, so that could occur an efficient prevention of dropping out.