Technological Prospecting of Big Data Solutions and Data Analysis Applied to Education
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cadernos de Prospecção (Online) |
Texto Completo: | https://periodicos.ufba.br/index.php/nit/article/view/33082 |
Resumo: | The need to generate more assertive education system without replacing the traditional elements of education allows big data solutions and data analysis to assist institutions in decision-making processes. These technologies can also make evaluation, feedback, personalized learning, content delivery, management, and problem solving more effective. This work aims to identify technologies for applying the concept of big data in education, through a review of the patent and scientific work. The search for patents was carried out in the databases available in the software Orbit Intelligence, which showed growth in recent years predominantly driven by China and Asian countries in the IPC G06, G09 and H04 categories, While searches for scientific articles related to the subject were made in the bases of the main collections of Web of Science and Scopus and corroborated a diverse application. |
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Technological Prospecting of Big Data Solutions and Data Analysis Applied to EducationProspecção Tecnológica de Soluções de Big Data e de Análise de Dados Aplicadas à EducaçãoProspecção TecnológicaBig DataEducaçãoTechnologyData ScienceEducation Systems.The need to generate more assertive education system without replacing the traditional elements of education allows big data solutions and data analysis to assist institutions in decision-making processes. These technologies can also make evaluation, feedback, personalized learning, content delivery, management, and problem solving more effective. This work aims to identify technologies for applying the concept of big data in education, through a review of the patent and scientific work. The search for patents was carried out in the databases available in the software Orbit Intelligence, which showed growth in recent years predominantly driven by China and Asian countries in the IPC G06, G09 and H04 categories, While searches for scientific articles related to the subject were made in the bases of the main collections of Web of Science and Scopus and corroborated a diverse application.A necessidade da geração de um sistema de ensino mais assertivo sem substituir os elementos tradicionais da educação permite que soluções de Big Data e análise de dados auxiliem as instituições nos processos de tomada de decisões. Essas tecnologias podem tornar mais eficazes também os processos de avaliação, de feedback, de aprendizagem personalizada, de oferta de conteúdo, de gerenciamento e de solução de problemas. Este trabalho tem como objetivo apontar tecnologias de aplicação do conceito de Big Data como ferramenta de educação, por meio de uma revisão patentária e de trabalhos científicos. A busca por patentes foi realizada nas bases de dados disponíveis no software Orbit Intelligence, que demonstrou um crescimento nos últimos anos predominantemente impulsionadas pela China e Países asiáticos nas categorias IPC G06, G09 e H04. Já as buscas por artigos científicos relacionados ao tema foram feitas nas bases das principais coleções da Web of Science e Scopus e corroboram com uma diversificada aplicação.Universidade Federal da Bahia2020-07-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionProspecçãoapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/3308210.9771/cp.v13i4.33082Cadernos de Prospecção; Vol. 13 No. 4 (2020); 1164Cadernos de Prospecção; v. 13 n. 4 (2020); 11642317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/33082/21560Copyright (c) 2020 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessPassos, Thiago Ravel NascimentoRebello, Maria Ribeiro de MelloFerreira, Dayvid Emerson SilvaSantos, Maria Rita de Morais Chaves2020-07-12T18:33:55Zoai:ojs.periodicos.ufba.br:article/33082Revistahttps://periodicos.ufba.br/index.php/nitPUBhttps://periodicos.ufba.br/index.php/nit/oaicadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com2317-00261983-1358opendoar:2020-07-12T18:33:55Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false |
dc.title.none.fl_str_mv |
Technological Prospecting of Big Data Solutions and Data Analysis Applied to Education Prospecção Tecnológica de Soluções de Big Data e de Análise de Dados Aplicadas à Educação |
title |
Technological Prospecting of Big Data Solutions and Data Analysis Applied to Education |
spellingShingle |
Technological Prospecting of Big Data Solutions and Data Analysis Applied to Education Passos, Thiago Ravel Nascimento Prospecção Tecnológica Big Data Educação Technology Data Science Education Systems. |
title_short |
Technological Prospecting of Big Data Solutions and Data Analysis Applied to Education |
title_full |
Technological Prospecting of Big Data Solutions and Data Analysis Applied to Education |
title_fullStr |
Technological Prospecting of Big Data Solutions and Data Analysis Applied to Education |
title_full_unstemmed |
Technological Prospecting of Big Data Solutions and Data Analysis Applied to Education |
title_sort |
Technological Prospecting of Big Data Solutions and Data Analysis Applied to Education |
author |
Passos, Thiago Ravel Nascimento |
author_facet |
Passos, Thiago Ravel Nascimento Rebello, Maria Ribeiro de Mello Ferreira, Dayvid Emerson Silva Santos, Maria Rita de Morais Chaves |
author_role |
author |
author2 |
Rebello, Maria Ribeiro de Mello Ferreira, Dayvid Emerson Silva Santos, Maria Rita de Morais Chaves |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Passos, Thiago Ravel Nascimento Rebello, Maria Ribeiro de Mello Ferreira, Dayvid Emerson Silva Santos, Maria Rita de Morais Chaves |
dc.subject.por.fl_str_mv |
Prospecção Tecnológica Big Data Educação Technology Data Science Education Systems. |
topic |
Prospecção Tecnológica Big Data Educação Technology Data Science Education Systems. |
description |
The need to generate more assertive education system without replacing the traditional elements of education allows big data solutions and data analysis to assist institutions in decision-making processes. These technologies can also make evaluation, feedback, personalized learning, content delivery, management, and problem solving more effective. This work aims to identify technologies for applying the concept of big data in education, through a review of the patent and scientific work. The search for patents was carried out in the databases available in the software Orbit Intelligence, which showed growth in recent years predominantly driven by China and Asian countries in the IPC G06, G09 and H04 categories, While searches for scientific articles related to the subject were made in the bases of the main collections of Web of Science and Scopus and corroborated a diverse application. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-12 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Prospecção |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/33082 10.9771/cp.v13i4.33082 |
url |
https://periodicos.ufba.br/index.php/nit/article/view/33082 |
identifier_str_mv |
10.9771/cp.v13i4.33082 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/33082/21560 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal da Bahia |
publisher.none.fl_str_mv |
Universidade Federal da Bahia |
dc.source.none.fl_str_mv |
Cadernos de Prospecção; Vol. 13 No. 4 (2020); 1164 Cadernos de Prospecção; v. 13 n. 4 (2020); 1164 2317-0026 1983-1358 reponame:Cadernos de Prospecção (Online) instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
instname_str |
Universidade Federal da Bahia (UFBA) |
instacron_str |
UFBA |
institution |
UFBA |
reponame_str |
Cadernos de Prospecção (Online) |
collection |
Cadernos de Prospecção (Online) |
repository.name.fl_str_mv |
Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA) |
repository.mail.fl_str_mv |
cadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com |
_version_ |
1799319847395393536 |