Análise sobre o perfil dos estudantes que estão concluindo o ensino médio em escolas regulares em Quixadá/CE

Abstract

The educational trajectory of young people, especially after high school, is the subject of constant studies and analysis, as ensuring the success of young people reflects on the construction of a fairer and more developed country. With a minimum duration of three (3) years, Secondary education, according to the LDB, aims at consolidating and deepening the knowledge acquired in elementary education, enabling the continuation of studies; basic preparation for work; ethical training, development of the student's intellectual autonomy and critical thinking; understanding of the scientific-technological foundations of productive processes. The so-called new secondary education, which has been the subject of major debates since 2022, brings some changes to the current model, such as increasing student workloads, adopting a common curriculum base and choosing training itineraries on the part of of the student. In this context, the objective of this work was to know the profile of high school students from regular schools in the city of Quixadá/CE, from their current perspectives and expectations after completing high school. The study was carried out using knowledge discovery techniques (KDD) with clustering and descriptive analysis, with the help of the Weka tool. Data were obtained through a questionnaire applied face-to-face with 194 third-year high school students from three regular high schools in Quixadá/CE. Based on the analyses, there was a strong tendency for black and brown male students with a family income of up to one minimum wage not to have expectations of continuing their studies. Students who do not consider that the schools help them to make decisions and say that the schools do not effectively support or encourage them to continue their studies, have a greater tendency to be undecided about what to do after completing high school. Female students, with better income and who live with their parents, are more likely to attend higher education. However, it was not possible to carry out a deeper and more detailed analysis due to the small amount of data obtained and the limited exploration capacity of algorithms and data mining (DM) tools to focus on this subject.