Assessing the educational performance of different Brazilian school cycles using data science methods

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 w...

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Bibliographic Details
Published in:PloS one 2021-03, Vol.16 (3), p.e0248525-e0248525
Main Authors: Maia, Joyce de Souza Zanirato, Bueno, Ana Paula Arantes, Sato, João Ricardo
Format: Article
Language:English
Subjects:
Academic achievement
Censuses
Data analysis
Data science
Economic aspects
Education
Elementary schools
Enrollments
GDP
Gross Domestic Product
Indicators
Laboratories
Nonlinear theories
People and places
Physical Sciences
Research and Analysis Methods
Secondary schools
Social aspects
Social factors
Social Sciences
Socioeconomic factors
Students
Teaching
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Summary: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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0248525