Mathematical modelling for critical statistics education

Detalhes bibliográficos
Autor(a) principal: Sampaio, Luana Oliveira [UNESP]
Data de Publicação: 2015
Outros Autores: Wodewotzki, Maria Lucia Lorenzetti [UNESP]
Tipo de documento: Capítulo de livro
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-319-23470-0_11
http://hdl.handle.net/11449/232496
Resumo: This study involved 55 students of the discipline Statistics for Administration. With them, we conducted an extracurricular activity through Mathematical Modelling (MM) in an attempt to create conditions for a Critical Statistics Education (CSE). In this line, MM involves investigations of reality, while providing an environment where students gain space for discussions. Those discussions that have some connection with the construction of the Mathematical Model are what Barbosa (Students’ discussion in mathematical modelling, Istanbul, Turkey, 2006) calls Modelling Routes, which consists of three types of discussions: mathematical, technological, and reflexive. However, outside the Modelling Routes, there are the Parallel Discussions, that refers to general aspects of the problem without being used in the construction of the mathematical model. In our research, we identified new branches within the Parallel Discussions (Sampaio, Educação Estatística Crítica: uma possibilidade? Dissertação (Mestrado)—IGCE, Universidade Estadual Paulista, Rio Claro, Brasil, 2010): Mathematical Parallel Discussions: refers to the speeches belonging to the field of pure mathematics and/or statistics; Technological Parallel Discussions: refers to the way, or set of procedures and tools used to plan, develop, and evaluate the learning environment; Reflexive Parallel Discussions: refers to ideas related to aspects of social life and can involve socio-critical interpretations of the results of mathematical or statistical studies; Other Parallel Discussions: refers to the speeches that do not meet the definitions above. Faced with this classification, we observe that the discussions outside the Modelling Routes can also have an important role in MM Practices. We conclude that the Reflexive Discussions and Reflexive Parallel Discussions contribute more to the development of CSE, that, according to Campos (A educação estatística: uma investigação acerca dos aspectos relevantes à didática da estatística em cursos de graduação. Tese (Doutorado)—IGCE, Universidade Estadual Paulista, Rio Claro, Brasil, 2007), brings together the goals of Statistics Education and goals of Critical Education in order to produce a pedagogy that is democratic, reflective, and engaged in its greatest role of social responsibility with students.
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spelling Mathematical modelling for critical statistics educationCritical statistics educationDiscussionsMathematical modellingThis study involved 55 students of the discipline Statistics for Administration. With them, we conducted an extracurricular activity through Mathematical Modelling (MM) in an attempt to create conditions for a Critical Statistics Education (CSE). In this line, MM involves investigations of reality, while providing an environment where students gain space for discussions. Those discussions that have some connection with the construction of the Mathematical Model are what Barbosa (Students’ discussion in mathematical modelling, Istanbul, Turkey, 2006) calls Modelling Routes, which consists of three types of discussions: mathematical, technological, and reflexive. However, outside the Modelling Routes, there are the Parallel Discussions, that refers to general aspects of the problem without being used in the construction of the mathematical model. In our research, we identified new branches within the Parallel Discussions (Sampaio, Educação Estatística Crítica: uma possibilidade? Dissertação (Mestrado)—IGCE, Universidade Estadual Paulista, Rio Claro, Brasil, 2010): Mathematical Parallel Discussions: refers to the speeches belonging to the field of pure mathematics and/or statistics; Technological Parallel Discussions: refers to the way, or set of procedures and tools used to plan, develop, and evaluate the learning environment; Reflexive Parallel Discussions: refers to ideas related to aspects of social life and can involve socio-critical interpretations of the results of mathematical or statistical studies; Other Parallel Discussions: refers to the speeches that do not meet the definitions above. Faced with this classification, we observe that the discussions outside the Modelling Routes can also have an important role in MM Practices. We conclude that the Reflexive Discussions and Reflexive Parallel Discussions contribute more to the development of CSE, that, according to Campos (A educação estatística: uma investigação acerca dos aspectos relevantes à didática da estatística em cursos de graduação. Tese (Doutorado)—IGCE, Universidade Estadual Paulista, Rio Claro, Brasil, 2007), brings together the goals of Statistics Education and goals of Critical Education in order to produce a pedagogy that is democratic, reflective, and engaged in its greatest role of social responsibility with students.Luana Oliveira Sampaio UFSB (Federal University of Southern Bahia) Maria Lucia Lorenzetti Wodewotzki (São Paulo State University)Luana Oliveira Sampaio UFSB (Federal University of Southern Bahia) Maria Lucia Lorenzetti Wodewotzki (São Paulo State University)Universidade Estadual Paulista (UNESP)Sampaio, Luana Oliveira [UNESP]Wodewotzki, Maria Lucia Lorenzetti [UNESP]2022-04-29T17:53:20Z2022-04-29T17:53:20Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart99-100http://dx.doi.org/10.1007/978-3-319-23470-0_11The Teaching and Learning of Statistics: International Perspectives, p. 99-100.http://hdl.handle.net/11449/23249610.1007/978-3-319-23470-0_112-s2.0-84958692735Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengThe Teaching and Learning of Statistics: International Perspectivesinfo:eu-repo/semantics/openAccess2022-04-29T17:53:20Zoai:repositorio.unesp.br:11449/232496Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:32:53.318259Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Mathematical modelling for critical statistics education
title Mathematical modelling for critical statistics education
spellingShingle Mathematical modelling for critical statistics education
Sampaio, Luana Oliveira [UNESP]
Critical statistics education
Discussions
Mathematical modelling
title_short Mathematical modelling for critical statistics education
title_full Mathematical modelling for critical statistics education
title_fullStr Mathematical modelling for critical statistics education
title_full_unstemmed Mathematical modelling for critical statistics education
title_sort Mathematical modelling for critical statistics education
author Sampaio, Luana Oliveira [UNESP]
author_facet Sampaio, Luana Oliveira [UNESP]
Wodewotzki, Maria Lucia Lorenzetti [UNESP]
author_role author
author2 Wodewotzki, Maria Lucia Lorenzetti [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Sampaio, Luana Oliveira [UNESP]
Wodewotzki, Maria Lucia Lorenzetti [UNESP]
dc.subject.por.fl_str_mv Critical statistics education
Discussions
Mathematical modelling
topic Critical statistics education
Discussions
Mathematical modelling
description This study involved 55 students of the discipline Statistics for Administration. With them, we conducted an extracurricular activity through Mathematical Modelling (MM) in an attempt to create conditions for a Critical Statistics Education (CSE). In this line, MM involves investigations of reality, while providing an environment where students gain space for discussions. Those discussions that have some connection with the construction of the Mathematical Model are what Barbosa (Students’ discussion in mathematical modelling, Istanbul, Turkey, 2006) calls Modelling Routes, which consists of three types of discussions: mathematical, technological, and reflexive. However, outside the Modelling Routes, there are the Parallel Discussions, that refers to general aspects of the problem without being used in the construction of the mathematical model. In our research, we identified new branches within the Parallel Discussions (Sampaio, Educação Estatística Crítica: uma possibilidade? Dissertação (Mestrado)—IGCE, Universidade Estadual Paulista, Rio Claro, Brasil, 2010): Mathematical Parallel Discussions: refers to the speeches belonging to the field of pure mathematics and/or statistics; Technological Parallel Discussions: refers to the way, or set of procedures and tools used to plan, develop, and evaluate the learning environment; Reflexive Parallel Discussions: refers to ideas related to aspects of social life and can involve socio-critical interpretations of the results of mathematical or statistical studies; Other Parallel Discussions: refers to the speeches that do not meet the definitions above. Faced with this classification, we observe that the discussions outside the Modelling Routes can also have an important role in MM Practices. We conclude that the Reflexive Discussions and Reflexive Parallel Discussions contribute more to the development of CSE, that, according to Campos (A educação estatística: uma investigação acerca dos aspectos relevantes à didática da estatística em cursos de graduação. Tese (Doutorado)—IGCE, Universidade Estadual Paulista, Rio Claro, Brasil, 2007), brings together the goals of Statistics Education and goals of Critical Education in order to produce a pedagogy that is democratic, reflective, and engaged in its greatest role of social responsibility with students.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2022-04-29T17:53:20Z
2022-04-29T17:53:20Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-3-319-23470-0_11
The Teaching and Learning of Statistics: International Perspectives, p. 99-100.
http://hdl.handle.net/11449/232496
10.1007/978-3-319-23470-0_11
2-s2.0-84958692735
url http://dx.doi.org/10.1007/978-3-319-23470-0_11
http://hdl.handle.net/11449/232496
identifier_str_mv The Teaching and Learning of Statistics: International Perspectives, p. 99-100.
10.1007/978-3-319-23470-0_11
2-s2.0-84958692735
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv The Teaching and Learning of Statistics: International Perspectives
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 99-100
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
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repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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