Mathematical modelling for critical statistics education
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
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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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 |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129435561361408 |