La trayectoria de los estudiantes de cuota racial en el Instituto Federal de Educación, Ciencia y Tecnologia do Rio Grande do Norte (2014-2023)

Descripción del Articulo

This study analyzes the trajectories of students admitted through racial quotas at the Federal Institute of Education, Science, and Technology of Rio Grande do Norte (IFRN) between 2014 and 2023. The analysis focuses on per capita income, Grade Point Average (IRA), and dropout rates, comparing them...

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Detalles Bibliográficos
Autores: Leite de Lima, Izabel Cristina, Da Silva Torres, Rusiane, Campos Alves, Sandra Maria
Formato: artículo
Fecha de Publicación:2025
Institución:Pontificia Universidad Católica del Perú
Repositorio:PUCP-Institucional
Lenguaje:portugués
OAI Identifier:oai:repositorio.pucp.edu.pe:20.500.14657/205006
Enlace del recurso:https://revistas.pucp.edu.pe/index.php/educacion/article/view/32216/28072
http://hdl.handle.net/20.500.14657/205006
https://doi.org/10.18800/educacion.202502.A010
Nivel de acceso:acceso abierto
Materia:Racial quota students
School dropout
Academic performance
Per capita income
Teaching
Estudiantes de cuotas raciales
Abandono escolar
Rendimiento académico
Renta per cápita
Enseñanza
Cotistas raciais
Evasão escolar
Rendimento acadêmico
Renda per capita
Ensino
https://purl.org/pe-repo/ocde/ford#5.03.00
Descripción
Sumario:This study analyzes the trajectories of students admitted through racial quotas at the Federal Institute of Education, Science, and Technology of Rio Grande do Norte (IFRN) between 2014 and 2023. The analysis focuses on per capita income, Grade Point Average (IRA), and dropout rates, comparing them with students admitted through broad competition over the same period. A mixed-methods approach was adopted, combining qualitative and quantitative analyses. Statistical data on income, IRA, and dropout rates were examined using descriptive methods, including mean and standard deviation comparisons between categories. The results show that quota students, particularly those from Black populations, have the lowest per capita incomes. It was found that, despite the similarity in academic performance between non-quota students and racial quota students, non-quota students have a higher IRA and a higher dropout rate.
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