Analysing students' attitudes towards the learning of specialized software

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Cristina S.
Data de Publicação: 2014
Outros Autores: Rocha, Ana Maria A. C.
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/30860
Resumo: In this article the situation of teaching in engineering courses using specialized software support is evaluated and analysed.The statistics courses in engineering often come off as element of formal exposure to statistical analysis and research methods. The software support during classes intends to facilitate and reinforce learning with computational resolution of statistical specific problems. We report a research that investigates students' attitudes towards computers and their effect on statistics unit performance. The preliminary results of research using a small sample of 47 students enrolled in the experimental statistics unit of the 1st year of the master's degree in industrial engineering from the University of Minho indicate that software perceived usefulness has a positive effect on student success, although perceived ease of use and perceived self-performance do not influence.
id RCAP_bd84b39c74de8ba2b5d3d55b48c30cc6
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/30860
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Analysing students' attitudes towards the learning of specialized softwareStudents’ attitudesStatistical sofwtareUsefulnessCase of useSelf-performanceease of useScience & TechnologyIn this article the situation of teaching in engineering courses using specialized software support is evaluated and analysed.The statistics courses in engineering often come off as element of formal exposure to statistical analysis and research methods. The software support during classes intends to facilitate and reinforce learning with computational resolution of statistical specific problems. We report a research that investigates students' attitudes towards computers and their effect on statistics unit performance. The preliminary results of research using a small sample of 47 students enrolled in the experimental statistics unit of the 1st year of the master's degree in industrial engineering from the University of Minho indicate that software perceived usefulness has a positive effect on student success, although perceived ease of use and perceived self-performance do not influence.Fundação para a Ciência e a Tecnologia (FCT)IEEEUniversidade do MinhoRodrigues, Cristina S.Rocha, Ana Maria A. C.20142014-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/30860eng978-1-4799-4264-010.1109/ICCSA.2014.61http://www.ieeeexplore.cominfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-11T07:37:56Zoai:repositorium.sdum.uminho.pt:1822/30860Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T07:37:56Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Analysing students' attitudes towards the learning of specialized software
title Analysing students' attitudes towards the learning of specialized software
spellingShingle Analysing students' attitudes towards the learning of specialized software
Rodrigues, Cristina S.
Students’ attitudes
Statistical sofwtare
Usefulness
Case of use
Self-performance
ease of use
Science & Technology
title_short Analysing students' attitudes towards the learning of specialized software
title_full Analysing students' attitudes towards the learning of specialized software
title_fullStr Analysing students' attitudes towards the learning of specialized software
title_full_unstemmed Analysing students' attitudes towards the learning of specialized software
title_sort Analysing students' attitudes towards the learning of specialized software
author Rodrigues, Cristina S.
author_facet Rodrigues, Cristina S.
Rocha, Ana Maria A. C.
author_role author
author2 Rocha, Ana Maria A. C.
author2_role author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Rodrigues, Cristina S.
Rocha, Ana Maria A. C.
dc.subject.por.fl_str_mv Students’ attitudes
Statistical sofwtare
Usefulness
Case of use
Self-performance
ease of use
Science & Technology
topic Students’ attitudes
Statistical sofwtare
Usefulness
Case of use
Self-performance
ease of use
Science & Technology
description In this article the situation of teaching in engineering courses using specialized software support is evaluated and analysed.The statistics courses in engineering often come off as element of formal exposure to statistical analysis and research methods. The software support during classes intends to facilitate and reinforce learning with computational resolution of statistical specific problems. We report a research that investigates students' attitudes towards computers and their effect on statistics unit performance. The preliminary results of research using a small sample of 47 students enrolled in the experimental statistics unit of the 1st year of the master's degree in industrial engineering from the University of Minho indicate that software perceived usefulness has a positive effect on student success, although perceived ease of use and perceived self-performance do not influence.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/30860
url http://hdl.handle.net/1822/30860
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-1-4799-4264-0
10.1109/ICCSA.2014.61
http://www.ieeeexplore.com
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 IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
_version_ 1817545384581398528

Registros relacionados