Educometrics: from theory to application
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Tese |
Idioma: | eng |
Título da fonte: | Repositório Institucional da Universidade Federal do Ceará (UFC) |
Texto Completo: | http://www.repositorio.ufc.br/handle/riufc/28972 |
Resumo: | Nowadays, in the educational context, emphasis has been placed on the collection and analysis of data by scientists from several areas of knowledge, such as: psychology and economics. These professionals analyze data and their results can be used, for example, to aid in the decision making of a public policy. However, educational measures have become very popular and can encompass all the multidimensionality contained in the educational process, from teaching and learning to social interaction in the classroom. Understanding of data analysis in a classroom needs to be done by teachers and pedagogues who know exactly the empirical significance of the variability of a particular measured variable. In this sense, this thesis conceptualizes, discusses, defines and applies Educometrics, which is recognized as an area of knowledge that makes use of multivariate statistical models to analyze data related to educational contexts. After establishing the concept of Educometrics, we apply some mathematical models in the learning context of teaching in distance learning. A sample of 791 students answered the updated QEOn questionnaire for three courses and the factorial structure of the questionnaire was valid from the application of factorial analysis. The principal component analysis and the Parafac2, bilinear and multilinear models, respectively, were applied and able to identify intrinsic behaviors in relation to the 34 statements contained in the QEOn questionnaire. As a conclusion, the application of models that allow pedagogical intervention in the classroom as it is the key of the support provided by the educometrics developed throughout this thesis. |
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Educometrics: from theory to applicationTeleinformáticaEducometriaEstatística multivariadaAnálise multilinearAvaliação educacionalAnálise de dadosNowadays, in the educational context, emphasis has been placed on the collection and analysis of data by scientists from several areas of knowledge, such as: psychology and economics. These professionals analyze data and their results can be used, for example, to aid in the decision making of a public policy. However, educational measures have become very popular and can encompass all the multidimensionality contained in the educational process, from teaching and learning to social interaction in the classroom. Understanding of data analysis in a classroom needs to be done by teachers and pedagogues who know exactly the empirical significance of the variability of a particular measured variable. In this sense, this thesis conceptualizes, discusses, defines and applies Educometrics, which is recognized as an area of knowledge that makes use of multivariate statistical models to analyze data related to educational contexts. After establishing the concept of Educometrics, we apply some mathematical models in the learning context of teaching in distance learning. A sample of 791 students answered the updated QEOn questionnaire for three courses and the factorial structure of the questionnaire was valid from the application of factorial analysis. The principal component analysis and the Parafac2, bilinear and multilinear models, respectively, were applied and able to identify intrinsic behaviors in relation to the 34 statements contained in the QEOn questionnaire. As a conclusion, the application of models that allow pedagogical intervention in the classroom as it is the key of the support provided by the educometrics developed throughout this thesis.Atualmente, no contexto educacional, foi dada ˆenfase `a coleta e an´alise de dados por cientistas de diversas ´areas do conhecimento, tais como: psicologia e economia. Esses profissionais analisam dados e seus resultados podem ser usados, por exemplo, para ajudar na tomada de decis˜oes de uma pol´ıtica p´ublica. No entanto, as medidas educacionais tornaram-se muito populares e podem abranger toda a multidimensionalidade contida no processo educacional, desde o ensino e a aprendizagem at´e a intera¸c˜ao social na sala de aula. A compreens˜ao da an´alise de dados em uma sala de aula precisa ser feita por professores e pedagogos que conhe¸cam exatamente o significado emp´ırico da variabilidade de uma determinada vari´avel medida. Nesse sentido, esta tese conceitua, discute, define e aplica a Educometria, a qual se reconhece ser uma ´area de conhecimento que faz uso de modelos de estat´ıstica multivari´avel para an´alise de dados relacionados a contextos educacionais. Depois de estabelecer o conceito de Educometria, aplicamos alguns modelos matem´aticos no contexto da avalia¸c˜ao do contexto no ensino `a distˆancia. Uma amostra de 791 alunos respondeu o question´ario QEOn atualizado para trˆes cursos e a estrutura fatorial do question´ario foi v´alida a partir da aplica¸c˜ao da an´alise fatorial. A an´alise dos componentes principais e o Parafac2, sendo modelos bilinear e multilinear, respectivamente, foram aplicados e capazes de identificar comportamentos intr´ınsecos em rela¸c˜ao `as 34 assertivas contidas no question´ario QEOn. Como conclus˜ao, a aplica¸c˜ao de modelos que permitem a interven¸c˜ao pedag´ogica na sala de aula tendo em vista que essa a¸c˜ao ´e a chave do suporte fornecido pela educometria desenvolvida ao longo desta tese.Mota, João César MouraBro, RasmusAndriola, Wagner BandeiraAlmeida, André Lima Férrer deSilva, Thomaz Edson Veloso da2018-01-12T15:48:26Z2018-01-12T15:48:26Z2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfSILVA, Thomaz Edson Veloso da. Educometrics: from theory to application. 2017. 82 f. Tese (Doutorado em Engenharia de Teleinformática)-Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2017.http://www.repositorio.ufc.br/handle/riufc/28972engreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2021-11-19T16:40:32Zoai:repositorio.ufc.br:riufc/28972Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:54:13.762413Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Educometrics: from theory to application |
title |
Educometrics: from theory to application |
spellingShingle |
Educometrics: from theory to application Silva, Thomaz Edson Veloso da Teleinformática Educometria Estatística multivariada Análise multilinear Avaliação educacional Análise de dados |
title_short |
Educometrics: from theory to application |
title_full |
Educometrics: from theory to application |
title_fullStr |
Educometrics: from theory to application |
title_full_unstemmed |
Educometrics: from theory to application |
title_sort |
Educometrics: from theory to application |
author |
Silva, Thomaz Edson Veloso da |
author_facet |
Silva, Thomaz Edson Veloso da |
author_role |
author |
dc.contributor.none.fl_str_mv |
Mota, João César Moura Bro, Rasmus Andriola, Wagner Bandeira Almeida, André Lima Férrer de |
dc.contributor.author.fl_str_mv |
Silva, Thomaz Edson Veloso da |
dc.subject.por.fl_str_mv |
Teleinformática Educometria Estatística multivariada Análise multilinear Avaliação educacional Análise de dados |
topic |
Teleinformática Educometria Estatística multivariada Análise multilinear Avaliação educacional Análise de dados |
description |
Nowadays, in the educational context, emphasis has been placed on the collection and analysis of data by scientists from several areas of knowledge, such as: psychology and economics. These professionals analyze data and their results can be used, for example, to aid in the decision making of a public policy. However, educational measures have become very popular and can encompass all the multidimensionality contained in the educational process, from teaching and learning to social interaction in the classroom. Understanding of data analysis in a classroom needs to be done by teachers and pedagogues who know exactly the empirical significance of the variability of a particular measured variable. In this sense, this thesis conceptualizes, discusses, defines and applies Educometrics, which is recognized as an area of knowledge that makes use of multivariate statistical models to analyze data related to educational contexts. After establishing the concept of Educometrics, we apply some mathematical models in the learning context of teaching in distance learning. A sample of 791 students answered the updated QEOn questionnaire for three courses and the factorial structure of the questionnaire was valid from the application of factorial analysis. The principal component analysis and the Parafac2, bilinear and multilinear models, respectively, were applied and able to identify intrinsic behaviors in relation to the 34 statements contained in the QEOn questionnaire. As a conclusion, the application of models that allow pedagogical intervention in the classroom as it is the key of the support provided by the educometrics developed throughout this thesis. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2018-01-12T15:48:26Z 2018-01-12T15:48:26Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
format |
doctoralThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
SILVA, Thomaz Edson Veloso da. Educometrics: from theory to application. 2017. 82 f. Tese (Doutorado em Engenharia de Teleinformática)-Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2017. http://www.repositorio.ufc.br/handle/riufc/28972 |
identifier_str_mv |
SILVA, Thomaz Edson Veloso da. Educometrics: from theory to application. 2017. 82 f. Tese (Doutorado em Engenharia de Teleinformática)-Centro de Tecnologia, Universidade Federal do Ceará, Fortaleza, 2017. |
url |
http://www.repositorio.ufc.br/handle/riufc/28972 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.source.none.fl_str_mv |
reponame:Repositório Institucional da Universidade Federal do Ceará (UFC) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
collection |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
repository.name.fl_str_mv |
Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
bu@ufc.br || repositorio@ufc.br |
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