Análise de dados estatísticos para tomadas de decisão em conselhos de classe

This work proposes a methodology to be used in class councils as a way to guide decision making on passing or failing of students who did not reach the minimum passing grade in a given discipline. A survey and analysis of the information base of the disciplines of the technical course in mining was carried out, in order to statistically calculate student grades. From the analysis of the data, a mapping is proposed, containing hypotheses about the students' level of learning. Thus, it tends to establish a more coherent and regular board decision-making, over the years.