SciELO - Scientific Electronic Library Online

 
vol.32 issue1MUNICIPAL EVALUATIONS' BALANCE OF THE PLAN OF ARTICULATED ACTIONS: 'PAR' NATIONAL POLICY'S CURRENT CHALLENGES TO DEVELOPMENTIS THE CUP HALF FULL OR HALF EMPTY? POSTDOCTORAL RESEARCH, EXPOSED FACE, CRITICAL REVIEW AND RESEARCH SCHEDULE author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Share


Educação em Revista

Print version ISSN 0102-4698On-line version ISSN 1982-6621

Abstract

FONSECA, Stella Oggioni da  and  NAMEN, Anderson Amendoeira. DATA MINING ON INEP DATABASES: AN INITIAL ANALYSIS AIMING TO IMPROVE BRAZILIAN EDUCATIONAL SYSTEM. Educ. Rev. [online]. 2016, vol.32, n.1, pp.133-157. ISSN 1982-6621.  https://doi.org/10.1590/0102-4698140742.

Anísio Teixeira National Institute for Education Research and Studies (INEP) provides databases from the evaluations of various levels and modalities of education. The Elementary Education Assessment System, called SAEB, provides mechanisms for evaluation of elementary education. One of these mechanisms is Prova Brasil, which includes the application of tests and questionnaires to students, teachers and school principals. Due to the large data volume involved, information extraction and its analysis is not a simple task. The general process of converting raw data into useful information is called Knowledge Discovery in Databases (KDD). It is applied here in order to identify factors that relate profiles and their influence - positively and negatively - on students' Mathematics learning. KDD steps are presented, with focus on the Data Mining stage. Some discovered patterns are analysed and discussed in this paper's conclusion.

Keywords : Elementary Education; Mathematics Learning; Data Mining..

        · abstract in Portuguese     · text in Portuguese     · Portuguese ( pdf )