Assistência Estudantil : análise sobre priorização no processo de seleção de estudante

Abstract

The National Student Assistance Program (PNAES), established by the Decree of July 19, 2010, aims to promote the retention of students in public higher education, reducing social and regional inequalities. At the Federal Institute of Education, Science, and Technology of Pernambuco (IFPE), the student assistance policy seeks to ensure the academic success of students in vulnerable situations. This work develops a prioritization system for selecting students eligible to receive financial aid, focused on the IFPE’s Academic Maintenance Support Program. The application reorders students based on socioeconomic criteria, prioritizing those most in need. The Weka tool was used for data analysis, while Python and the Django framework were employed for application development. The analysis of attributes and data validation, conducted across three campuses, demonstrated that the system allows for fast and efficient analysis. The development provides a practical solution to accelerate the selection process and ensure support for the most vulnerable students.