Um protótipo de Data Mining aplicado ao processo de gestão educacional para detecção de evasão escolar

Abstract

The need for learning management is an increasingly effulgent goal, in view of the problems encountered in our country to provide an efficient and quality education. Among these we can mention some problems, such as: Little investment in technology management, workload faced by teachers, lack of interest from students about topics covered, among many others.Considering the range of information that higher education institutions have in their databases, an analysis of data can provide mechanisms to assist teachers and administrators in taken more assertive decisions. This paper describes the creation of a prototype web data mining that aims to detect the school dropout students of Bachelor in Informatics of the Federal Technological University of Paraná - Campus Francisco Beltrão. A web application was created, which was prepared to receive parameters of a student and to calculate the probability of referring to become an elusive.