ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNING

Detalhes bibliográficos
Autor(a) principal: Dziekaniak, Cibele Vasconcelos
Data de Publicação: 2021
Outros Autores: Martins, Daner, Pereira, Eliana, Lima, Felipe, Mota, Fernanda, Nunes, Marcelo, Souza, Marcia, Vizzotto, Patrick, Silva, Peterson Fernando Kepps, Votto, Thays, Porciúncula, Mauren
Tipo de documento: Artigo
Idioma: por
Título da fonte: Vetor (Online)
Texto Completo: https://periodicos.furg.br/vetor/article/view/6829
Resumo: Reports the research experience on the behavior of students towards learning statistics. The sample consisted of 140 students. A data collection tool for identification of the academic study habits using the Likert scale was developed. The analysis was performed by Multivariate Statistical Principal Component Analysis (PCA), through the software SPSS (Statistical Package of Social Science). The PCA responses resulted in five factors: the habit of reading and study; the preference for mathematics; experience of Statistics discipline; form of learning and external influences to students who have completed this course. These factors demonstrate that the perception of the application of the concepts of Mathematics and Statistics on students' daily life tends to have a proactive behavior towards the disciplines and can influence throughout their academic life. Therefore, it is relevant to understand and evaluate the behavior of students in the exact sciences area, in order to develop strategies to encourage and motivate students in the university environment.
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spelling ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNINGANÁLISE DO COMPORTAMENTO DOS ESTUDANTES EM RELAÇÃO À APRENDIZAGEM DA ESTATÍSTICAAPRENDIZAGEMMATEMÁTICAESTATÍSTICACOMPORTAMENTOMOTIVAÇÃOLEARNINGMATHEMATICSSTATISTICSBEHAVIORMOTIVATIONReports the research experience on the behavior of students towards learning statistics. The sample consisted of 140 students. A data collection tool for identification of the academic study habits using the Likert scale was developed. The analysis was performed by Multivariate Statistical Principal Component Analysis (PCA), through the software SPSS (Statistical Package of Social Science). The PCA responses resulted in five factors: the habit of reading and study; the preference for mathematics; experience of Statistics discipline; form of learning and external influences to students who have completed this course. These factors demonstrate that the perception of the application of the concepts of Mathematics and Statistics on students' daily life tends to have a proactive behavior towards the disciplines and can influence throughout their academic life. Therefore, it is relevant to understand and evaluate the behavior of students in the exact sciences area, in order to develop strategies to encourage and motivate students in the university environment.Relata a experiência de pesquisa acerca do comportamento dos estudantes em relação à aprendizagem da Estatística. A amostra foi composta por 140 estudantes. Foi desenvolvido um instrumento de coleta de dados para identificação dos hábitos de estudos dos acadêmicos utilizando a escala Likert. A análise foi realizada através da Estatística Multivariada Análise de Componentes Principais (ACP), por meio do software SPSS (Statistical Package of Social Science). A ACP das respostas resultou em cinco fatores: o hábito de leitura e estudos; a preferência pela Matemática; experiência da disciplina de Estatística; forma de aprendizagem e influências externas aos estudantes que concluíram esta disciplina. Estes fatores demonstraram que a percepção da aplicação dos conceitos de Matemática e Estatística no cotidiano dos alunos tende a apresentar um comportamento pró-ativo para com as disciplinas, podendo influenciar em toda sua vida acadêmica. Portanto, torna-se relevante compreender e avaliar o comportamento dos estudantes em disciplinas da área das exatas, de forma a elaborar estratégias para incentivar e motivar os alunos no ambiente universitário.Universidade Federal do Rio Grande2021-10-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.furg.br/vetor/article/view/6829VETOR - Journal of Exact Sciences and Engineering; Vol. 29 No. 1-2 (2019); 10-33VETOR - Revista de Ciências Exatas e Engenharias; v. 29 n. 1-2 (2019); 10-332358-34520102-7352reponame:Vetor (Online)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGporhttps://periodicos.furg.br/vetor/article/view/6829/9044Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenhariasinfo:eu-repo/semantics/openAccessDziekaniak, Cibele VasconcelosMartins, DanerPereira, ElianaLima, FelipeMota, FernandaNunes, MarceloSouza, MarciaVizzotto, PatrickSilva, Peterson Fernando KeppsVotto, ThaysPorciúncula, Mauren2021-10-20T21:11:51Zoai:periodicos.furg.br:article/6829Revistahttps://periodicos.furg.br/vetorPUBhttps://periodicos.furg.br/vetor/oaigmplatt@furg.br2358-34520102-7352opendoar:2021-10-20T21:11:51Vetor (Online) - Universidade Federal do Rio Grande (FURG)false
dc.title.none.fl_str_mv ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNING
ANÁLISE DO COMPORTAMENTO DOS ESTUDANTES EM RELAÇÃO À APRENDIZAGEM DA ESTATÍSTICA
title ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNING
spellingShingle ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNING
Dziekaniak, Cibele Vasconcelos
APRENDIZAGEM
MATEMÁTICA
ESTATÍSTICA
COMPORTAMENTO
MOTIVAÇÃO
LEARNING
MATHEMATICS
STATISTICS
BEHAVIOR
MOTIVATION
title_short ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNING
title_full ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNING
title_fullStr ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNING
title_full_unstemmed ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNING
title_sort ANALYSIS OF STUDENT BEHAVIOR IN RELATION TO STATISTICAL LEARNING
author Dziekaniak, Cibele Vasconcelos
author_facet Dziekaniak, Cibele Vasconcelos
Martins, Daner
Pereira, Eliana
Lima, Felipe
Mota, Fernanda
Nunes, Marcelo
Souza, Marcia
Vizzotto, Patrick
Silva, Peterson Fernando Kepps
Votto, Thays
Porciúncula, Mauren
author_role author
author2 Martins, Daner
Pereira, Eliana
Lima, Felipe
Mota, Fernanda
Nunes, Marcelo
Souza, Marcia
Vizzotto, Patrick
Silva, Peterson Fernando Kepps
Votto, Thays
Porciúncula, Mauren
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Dziekaniak, Cibele Vasconcelos
Martins, Daner
Pereira, Eliana
Lima, Felipe
Mota, Fernanda
Nunes, Marcelo
Souza, Marcia
Vizzotto, Patrick
Silva, Peterson Fernando Kepps
Votto, Thays
Porciúncula, Mauren
dc.subject.por.fl_str_mv APRENDIZAGEM
MATEMÁTICA
ESTATÍSTICA
COMPORTAMENTO
MOTIVAÇÃO
LEARNING
MATHEMATICS
STATISTICS
BEHAVIOR
MOTIVATION
topic APRENDIZAGEM
MATEMÁTICA
ESTATÍSTICA
COMPORTAMENTO
MOTIVAÇÃO
LEARNING
MATHEMATICS
STATISTICS
BEHAVIOR
MOTIVATION
description Reports the research experience on the behavior of students towards learning statistics. The sample consisted of 140 students. A data collection tool for identification of the academic study habits using the Likert scale was developed. The analysis was performed by Multivariate Statistical Principal Component Analysis (PCA), through the software SPSS (Statistical Package of Social Science). The PCA responses resulted in five factors: the habit of reading and study; the preference for mathematics; experience of Statistics discipline; form of learning and external influences to students who have completed this course. These factors demonstrate that the perception of the application of the concepts of Mathematics and Statistics on students' daily life tends to have a proactive behavior towards the disciplines and can influence throughout their academic life. Therefore, it is relevant to understand and evaluate the behavior of students in the exact sciences area, in order to develop strategies to encourage and motivate students in the university environment.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-20
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://periodicos.furg.br/vetor/article/view/6829
url https://periodicos.furg.br/vetor/article/view/6829
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.furg.br/vetor/article/view/6829/9044
dc.rights.driver.fl_str_mv Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 VETOR - Revista de Ciências Exatas e Engenharias
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande
publisher.none.fl_str_mv Universidade Federal do Rio Grande
dc.source.none.fl_str_mv VETOR - Journal of Exact Sciences and Engineering; Vol. 29 No. 1-2 (2019); 10-33
VETOR - Revista de Ciências Exatas e Engenharias; v. 29 n. 1-2 (2019); 10-33
2358-3452
0102-7352
reponame:Vetor (Online)
instname:Universidade Federal do Rio Grande (FURG)
instacron:FURG
instname_str Universidade Federal do Rio Grande (FURG)
instacron_str FURG
institution FURG
reponame_str Vetor (Online)
collection Vetor (Online)
repository.name.fl_str_mv Vetor (Online) - Universidade Federal do Rio Grande (FURG)
repository.mail.fl_str_mv gmplatt@furg.br
_version_ 1797041761738031104

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