Contextualizando o ensino de correlação e regressão linear em um curso de Engenharia de Computação

Abstract

The present article aimed to verify the contributions that a certain teaching material of Correlation and Linear Regression, based on the assumptions of the contextualization, can bring to Computer Engineering students of a public University on Paraná’s countryside. To fulfill this research, sixteen Computer Engineering students suggested themes that could approach Correlation and Linear Regression contents in a specific situation of their area. Then two Ordination Algorithms were selected: Bubble Sort and Merge Sort, comparing the vector size and the ordination time of each method. The students were divided in pairs and four of this pairs used the first method and the other four pairs, the second method. The teaching sequence was applied on the data gathering on the algorithm by the pairs and each new item to be studied was inserted along the research. In the end, the students made the definitions of each studied category inside the content and each description was appreciated from the Analysis Content. In the ending it was possible to visualize the most learned items as well as the concepts that had remained unclear. As work’s final product a Professor’s didactic support material has been confectioned, such material includes a suggestion for teaching Correlation and Linear Regression to students taking Computer Engineering, which is annexed to this essay.