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Resumo: Este artigo tem como objetivo identificar e analisar a relacao da forma de ingresso com a situacao inativa dos discentes no curso Tecnologia em Sistemas Para Internet do Instituto Federal do Rio Grande do Sul-Campus Porto Alegre. Para isso, utilizou-se o software RapidMiner e a base de dados do curso, disponivel no Sistema Academico da Instituicao. Foram realizadas as cinco etapas do processo de KDD na base de dados do Sistema Academico do curso, que foram: selecao, pre-processamento, transformacao, mineracao e avaliacao dos dados. O KDD e o processo de descoberta de conhecimentos, que envolve etapas que vao desde a preparacao da base de dados ate a apresentacao do conhecimento encontrado atraves das tecnicas de mineracao de dados. Atualmente, ha a preocupacao com o numero crescente de alunos na ‘situacao’ em recuperacao, alunos que cursam semestres em atraso no curso. A descoberta de conhecimentos na base de dados do Sistema Academico permitiu chegar a conclusao de que os alunos ingressados na instituicao por vestibular, no segundo semestre de 2013 e pertencentes ao turno da manha, apresentam uma probabilidade maior para entrar na situacao de recuperacao, indicando a necessidade de novas pesquisas para investigar o motivo. Palavras-chave: Mineracao de Dados Educacionais. KDD. Ingresso. Situacao. RapidMiner. ENTRY FORM X SITUATION OF STUDENTS IN THE HIGHER EDUCATION COURSE OF TECHNOLOGY SYSTEMS FOR THE INTERNET AT IFRS Abstract: This article aims to identify and analyze the relation between the entry way and the inactive status of students in the course of Technology Systems for the Internet at the Federal Institute of Rio Grande do Sul - Campus Porto Alegre. Thus, we used the RapidMiner software and the course database of Academic System of the Institution. The five steps of the KDD process were followed in the Academic System database of the course, which were selection, pre-processing, processing, mining and data evaluation. KDD is the process of knowledge discovery, which involves steps ranging from the preparation of the database up until presentation of knowledges found through data mining techniques. Currently there is a concern about the increasing number of students in the recovery 'situation', students who attend semesters with delay in the course. The discovery of knowledges in the Academic System database has led to the conclusion that students who entered in the institution through college entrance in the second half of 2013 and belonging to the morning shift are more likely to enter the recovery situation, indicating the need of further research to investigate the reason. Keywords: Educational Data Mining. KDD. Entrance. Situation. RapidMiner.

Forma de ingresso X situação dos alunos no Curso Superior de Tecnologia em Sistemas para Internet do IFRS