BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATA
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Conexões : Ciência e Tecnologia (Fortaleza. Online) |
Texto Completo: | https://conexoes.ifce.edu.br/index.php/conexoes/article/view/730 |
Resumo: | Nowadays, the learning systems are changing from teacher-centered to learner-centered paradigm although entire education system platforms and even traditional distance education systems continues to adopt the classical way. At this time, in order to have a higher level of education system personalization, it is necessary the upgrade of learning platforms as the theories of learning evolve. In this article, we show the evolution of the INVENTE platform since its initial conception in 2000 to the present days. The major change that must occurs in its structure is the ability to work with both paradigm using machine learning techniques for modeling the student and allowing the content construction from the huge collections of data available in the web, more exactly in the big data context. The challenge of the BIG-INVENTE is to use these technologies (data mining and big data) in order to customize and make more efficient the learning process. |
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Conexões : Ciência e Tecnologia (Fortaleza. Online) |
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BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATANowadays, the learning systems are changing from teacher-centered to learner-centered paradigm although entire education system platforms and even traditional distance education systems continues to adopt the classical way. At this time, in order to have a higher level of education system personalization, it is necessary the upgrade of learning platforms as the theories of learning evolve. In this article, we show the evolution of the INVENTE platform since its initial conception in 2000 to the present days. The major change that must occurs in its structure is the ability to work with both paradigm using machine learning techniques for modeling the student and allowing the content construction from the huge collections of data available in the web, more exactly in the big data context. The challenge of the BIG-INVENTE is to use these technologies (data mining and big data) in order to customize and make more efficient the learning process. Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE)2015-02-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://conexoes.ifce.edu.br/index.php/conexoes/article/view/73010.21439/conexoes.v9i1.730Journal Conexões – Ciência e Tecnologia of IFCE; Vol. 9 No. 1 (2015)Conexões - Ciência e Tecnologia; Vol. 9 Núm. 1 (2015)Conexões - Ciência e Tecnologia; Vol. 9 No 1 (2015)Conexões - Ciência e Tecnologia; V. 9 N. 1 (2015)Conexões - Ciência e Tecnologia; v. 9 n. 1 (2015)Conexões 杂志 – IFCE 科技; 卷 9 编号 1 (2015)2176-01441982-176Xreponame:Conexões : Ciência e Tecnologia (Fortaleza. Online)instname:Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE)instacron:IFCEporhttps://conexoes.ifce.edu.br/index.php/conexoes/article/view/730/554de Oliveira, Antonio Mauro BarbosaRamos, Ronaldo FernandesOliveira, Carina TeixeiraQueiroz Neto, Eliezio Gomesinfo:eu-repo/semantics/openAccess2022-08-22T09:53:10Zoai:ojs2.conexoesnew.acessoacademico.com.br:article/730Revistahttp://conexoes.ifce.edu.br/index.php/conexoesPUBhttp://conexoes.ifce.edu.br/index.php/conexoes/oaiconexoes@ifce.edu.br2176-01441982-176Xopendoar:2022-08-22T09:53:10Conexões : Ciência e Tecnologia (Fortaleza. Online) - Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE)false |
dc.title.none.fl_str_mv |
BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATA |
title |
BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATA |
spellingShingle |
BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATA de Oliveira, Antonio Mauro Barbosa |
title_short |
BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATA |
title_full |
BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATA |
title_fullStr |
BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATA |
title_full_unstemmed |
BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATA |
title_sort |
BIG-INVENTE, TOWARDS AN ADAPTIVE LEARNING APPROACH FOR DISTANCE EDUCATION USING DATA MINING TECHNOLOGIES AND BIG DATA |
author |
de Oliveira, Antonio Mauro Barbosa |
author_facet |
de Oliveira, Antonio Mauro Barbosa Ramos, Ronaldo Fernandes Oliveira, Carina Teixeira Queiroz Neto, Eliezio Gomes |
author_role |
author |
author2 |
Ramos, Ronaldo Fernandes Oliveira, Carina Teixeira Queiroz Neto, Eliezio Gomes |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
de Oliveira, Antonio Mauro Barbosa Ramos, Ronaldo Fernandes Oliveira, Carina Teixeira Queiroz Neto, Eliezio Gomes |
description |
Nowadays, the learning systems are changing from teacher-centered to learner-centered paradigm although entire education system platforms and even traditional distance education systems continues to adopt the classical way. At this time, in order to have a higher level of education system personalization, it is necessary the upgrade of learning platforms as the theories of learning evolve. In this article, we show the evolution of the INVENTE platform since its initial conception in 2000 to the present days. The major change that must occurs in its structure is the ability to work with both paradigm using machine learning techniques for modeling the student and allowing the content construction from the huge collections of data available in the web, more exactly in the big data context. The challenge of the BIG-INVENTE is to use these technologies (data mining and big data) in order to customize and make more efficient the learning process. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-02-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://conexoes.ifce.edu.br/index.php/conexoes/article/view/730 10.21439/conexoes.v9i1.730 |
url |
https://conexoes.ifce.edu.br/index.php/conexoes/article/view/730 |
identifier_str_mv |
10.21439/conexoes.v9i1.730 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://conexoes.ifce.edu.br/index.php/conexoes/article/view/730/554 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE) |
publisher.none.fl_str_mv |
Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE) |
dc.source.none.fl_str_mv |
Journal Conexões – Ciência e Tecnologia of IFCE; Vol. 9 No. 1 (2015) Conexões - Ciência e Tecnologia; Vol. 9 Núm. 1 (2015) Conexões - Ciência e Tecnologia; Vol. 9 No 1 (2015) Conexões - Ciência e Tecnologia; V. 9 N. 1 (2015) Conexões - Ciência e Tecnologia; v. 9 n. 1 (2015) Conexões 杂志 – IFCE 科技; 卷 9 编号 1 (2015) 2176-0144 1982-176X reponame:Conexões : Ciência e Tecnologia (Fortaleza. Online) instname:Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE) instacron:IFCE |
instname_str |
Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE) |
instacron_str |
IFCE |
institution |
IFCE |
reponame_str |
Conexões : Ciência e Tecnologia (Fortaleza. Online) |
collection |
Conexões : Ciência e Tecnologia (Fortaleza. Online) |
repository.name.fl_str_mv |
Conexões : Ciência e Tecnologia (Fortaleza. Online) - Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE) |
repository.mail.fl_str_mv |
conexoes@ifce.edu.br |
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1797042064742940672 |