PPGINF PÓS-GRADUAÇÃO EM ENGENHARIA DA INFORMAÇÃO FUNDAÇÃO UNIVERSIDADE FEDERAL DO ABC Phone: Not available http://propg.ufabc.edu.br/ppginfo

Banca de QUALIFICAÇÃO: JOYCE DE SOUZA ZANIRATO MAIA

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : JOYCE DE SOUZA ZANIRATO MAIA
DATE: 01/06/2023
TIME: 09:00
LOCAL: Por participação remota: https://meet.google.com/qbc-ffjj-mqa
TITLE:

Evaluation of Brazilian School Performance: an approach with Artificial Intelligence Models


PAGES: 61
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUMMARY:

Education plays a fundamental role in the development of a country, in societies that prioritize it there are low crime rates and a greater state of well-being. According to human capital theory, the effects of education can be associated with greater economic development. In Brazil, only in recent decades has there been greater progress in educational terms, given the implementation of new laws and expansion in enrollment. However, according to national and international assessments, academic performance is still low, considering how much is invested. Given this scenario, it becomes necessary to intervene through public policies that consider the real needs of each cycle
basic education school. In addition, it is identified that Brazil has a series of data on Education, obtained by government surveys, which are currently little explored, but which would allow a better understanding of Education in the country. In this way, it was proposed to evaluate the Brazilian educational performance using Artificial Intelligence (AI) models, prioritizing the models with the best predictive performance in the different analyzes carried out. It was identified that AI models have better performance (error metrics and coefficient of determines) compared to traditional models, which corroborates the literature. In addition, it was characterized that the relative importance of the variables is different for each school level. Finally, it is suggested that the elaboration of educational public policies aimed at improving school academic performance, consider the results of studies that evaluate the available educational data and, if possible, from the perspective of AI.


COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 1672975 - JOAO RICARDO SATO
Membro Titular - Examinador(a) Interno ao Programa - 1761107 - RICARDO SUYAMA
Membro Titular - Examinador(a) Externo à Instituição - THIAGO FERREIRA COVOES
Membro Suplente - Examinador(a) Interno ao Programa - 2334927 - ANDRE KAZUO TAKAHATA
Membro Suplente - Examinador(a) Externo ao Programa - 2316523 - CARLA LOPES RODRIGUEZ
Membro Suplente - Examinador(a) Externo à Instituição - ANDRÉ FUJITA - USP
Notícia cadastrada em: 13/04/2023 10:01
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