Banca de DEFESA: ENEIDA SANTANA DE ÁVILA GOULART

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : ENEIDA SANTANA DE ÁVILA GOULART
DATE: 14/09/2023
TIME: 08:30
LOCAL: On-line
TITLE:

GOVERNMENTAL OPEN DATA MODELING OF NETWORK-BASED EDUCATION: SIMILAR SCHOOLS PROJECT

KEY WORDS:

1. Modeling knowledge. 2 Complex networks. 3. Networks of Similarities 4. Open Governmental Data. 5. Similar Schools.

PAGES: 228
BIG AREA: Ciências Sociais Aplicadas
AREA: Ciência da Informação
SUBÁREA: Teoria da Informação
SPECIALTY: Teoria Geral da Informação
SUMMARY:

The implementation of the Open Data Policy and Plan of the National Institute of Educational Studies and Research Anísio Teixeira (INEP), ratified by ordinance No. 380 on June 15, 2020, is founded on principles of increasing the availability of information about governmental activities and disseminating datasets related to Brazilian education to the public. In this context, this study aims to develop the Similarity Network Model (SNM) to represent the connections, and potential connections, among schools in the micro-region of Salvador (Bahia). The goal is to identify schools with similar characteristics to enable collaboration and knowledge sharing among them, aiming for joint problem-solving. The SNM was developed based on data collected in the School Censuses from 2019 to 2021 and the results of the Basic Education Development Index (IDEB) from 2019 to 2021, collected by the Brazilian Basic Education Assessment System (SAEB), which is linked to the National Institute of Educational Studies and Research Anísio Teixeira (INEP). In this way, a knowledge model based on FAIR principles (Findable, Accessible, Interoperable, Reusable) was developed for the application of datasets disseminated by the SAEB system. The research, of an exploratory nature, combines qualitative and quantitative approaches, adopting documentary research and Social Network Analysis (SNA) as methodologies to represent and establish connections between similar schools. The research results are presented through the development of the "School Similar" framework, used for network processing, and the Open Government Data Laboratory for Education (LABDAGE) platform for sharing and visualization of information by the community. The identification of school profiles is presented to enable their replication in other Brazilian micro-regions. In conclusion, the study points to the optimization of data disseminated by SAEB, either for its use in scientific research or to support evidence-based policy actions. Furthermore, the study emphasizes the importance of developing models that allow researchers, public managers, and the community to recognize, access, use, and reuse information for the development of actions within public education networks.

COMMITTEE MEMBERS:
Presidente - ***.881.935-** - ROBERTO LUIZ SOUZA MONTEIRO - SENAC
Interna - ***.856.585-** - ALIGER DOS SANTOS PEREIRA - IFBA
Interno - ***.382.515-** - MARCUS TULIO DE FREITAS PINHEIRO - UNEB
Externa ao Programa - 2942140 - BRUNA BOMFIM LESSA DOS SANTOS - UFBAExterna à Instituição - MARIA RAIDALVA NERY BARRETO - IFBA
Externa à Instituição - TEREZA KELLY GOMES CARNEIRO - IFBA