Descoberta e análise dos perfis metodológicos dos professores das disciplinas introdutórias a programação no Campus da UFC em Quixadá

Abstract

Technology has become more and more present in the daily lives of people and organizations. This increases the demand for courses in the area of Information Technology (IT) in higher education institutions. However, in the beginning, these courses present great challenges to students, since the curriculum is composed of several complex disciplines and important for the development of the knowledge necessary for their area of activity. In this work, we seek to identify the profiles of teachers from the introductory discipline to programming. Questionnaires applied to the students of these subjects were used. The focus was mainly on the teacher's approach and methodology. With the aid of data mining tools, we performed a clustering of this data, together with the uniform test data applied to all the classes. From these data, we extracted the profiles of the teachers related to averages of grades and the rate of evasion of the classes. With this data it is possible to maximize the variables related to a better performance of the students, and thus, to improve the performance of the subsequent classes. The UFC Campus in Quixadá is a great field for this study, since it has six courses with this discipline, with hours, structure and similar menus.