Open AccessAssessing the educational performance of different Brazilian school cycles using data science methods
Author(s) -
Joyce de Souza Zanirato Maia,
Ana Paula Arantes Bueno,
João Ricardo Sato
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0248525
Subject(s) - socioeconomic status , set (abstract data type) , work (physics) , variable (mathematics) , quality (philosophy) , computer science , variables , data set , econometrics , statistics , mathematics , medicine , environmental health , engineering , mechanical engineering , mathematical analysis , population , philosophy , epistemology , programming language
Educational indicators are metrics that assist in assessing the quality of the educational system. They are often associated with economic and social factors suggested to contribute to good school performance, however there is no consensus on the impact of these factors. The main objective of this work was to evaluate the factors related to school performance. Using a data set composed by Brazilian schools’ performance (IDEB), socioeconomic and school structure variables, we generated different models. The non-linear model predicted the best performance, measured by the error and determination coefficient metrics. The heterogeneity of the importance of the variable between school cycles and regions of the country was detected, this effect may contribute to the development of public educational policies.