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Influência de fatores socioeconómicos no sistema de ensino português
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Advisor(s)
Abstract(s)
O presente artigo estuda a influência dos fatores socioeconómicos dos diferentes municípios no sucesso educacional dos estudantes. Para verificar a existência de fatores relevantes para o percurso académico dos estudantes, foram obtidos datasets com descritores socioeconómicos por município, médias das notas dos exames nacionais e as taxas de sucesso dos alunos. Estes datasets foram submetidos a uma técnica de K-nearest neighbours para permitir encontrar valores de atributos em municípios com valores em falta. Foram, de seguida, aplicados algoritmos de classificação, através de árvores de decisão e regressão, que permitiram analisar quais os atributos socioeconómicos que tinham, potencialmente, maior relação com o sucesso escolar. O trabalho efetuado permite identificar alguns fatores como alvos de potenciais estudos futuros sem, no entanto, se verificar correlações fortes com nenhum atributo socioeconómico.
This paper studies the influence of the socio-economic factors of different municipalities on the educational success of students. To verify the existence of relevant factors to the academic course of the students, datasets were obtained with socio-economic descriptors by municipality, average grades of national exams and success rates of students. These datasets were submitted to a K-nearest neighbours technique to allow finding attributes in municipalities with missing values. Classification algorithms were then applied through decision and regression trees, which allowed analyzing which socio-economic attributes were potentially more related to school success. The work performed allowed identifying some factors as targets of potential future studies without, however, verifying strong correlations with any socio-economic attribute.
This paper studies the influence of the socio-economic factors of different municipalities on the educational success of students. To verify the existence of relevant factors to the academic course of the students, datasets were obtained with socio-economic descriptors by municipality, average grades of national exams and success rates of students. These datasets were submitted to a K-nearest neighbours technique to allow finding attributes in municipalities with missing values. Classification algorithms were then applied through decision and regression trees, which allowed analyzing which socio-economic attributes were potentially more related to school success. The work performed allowed identifying some factors as targets of potential future studies without, however, verifying strong correlations with any socio-economic attribute.
Description
Keywords
Sucesso educativo Dados socioeconómicos Classificação Prospeção de dados K-nearest neighbours Árvores de decisão Educational success Socio-economic data Classification Data mining Decision trees
Pedagogical Context
Citation
Pombinho, Paulo; Cavique, Luís; Correia, Luís - Influência de fatores socioeconómicos no sistema de ensino português. "Revista de Ciências da Computação" [Em linha]. ISSN 1646-6330 (Print) 2182-1801 (Online). Vol. 17 (2022), p. 65-78.
Publisher
Universidade Aberta