Student satisfaction and student interaction in online learning

Detalhes bibliográficos
Autor(a) principal: Pires, André Cardoso
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/130985
Resumo: This work project aims to study what factors can best predict student satisfaction in online learning. A survey was designed based on existing research and distributed among Masters students. The predictor variables were student-content, student-instructor, student-student and student-technology interactions. The data was analyzed using multiple regressions and ANOVAs. The results confirm that student-content and student-instructor interactions area focal point of online learning while suggesting the opposite for student-technology interaction and being inconclusive for student-student interaction. The conclusions should be analyzed with the study limitations in mind, namely the sample used and the COVID-19 pandemic situation.
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spelling Student satisfaction and student interaction in online learningEducationOnlinePredictabilityStudent satisfactionDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis work project aims to study what factors can best predict student satisfaction in online learning. A survey was designed based on existing research and distributed among Masters students. The predictor variables were student-content, student-instructor, student-student and student-technology interactions. The data was analyzed using multiple regressions and ANOVAs. The results confirm that student-content and student-instructor interactions area focal point of online learning while suggesting the opposite for student-technology interaction and being inconclusive for student-student interaction. The conclusions should be analyzed with the study limitations in mind, namely the sample used and the COVID-19 pandemic situation.Amaro, Ana PaulaRUNPires, André Cardoso2022-01-17T13:44:25Z2021-06-292021-05-122021-06-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/130985TID:202770281enginfo: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:RCAAP2024-03-11T05:09:31Zoai:run.unl.pt:10362/130985Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:46:56.162611Repositório 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 Student satisfaction and student interaction in online learning
title Student satisfaction and student interaction in online learning
spellingShingle Student satisfaction and student interaction in online learning
Pires, André Cardoso
Education
Online
Predictability
Student satisfaction
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Student satisfaction and student interaction in online learning
title_full Student satisfaction and student interaction in online learning
title_fullStr Student satisfaction and student interaction in online learning
title_full_unstemmed Student satisfaction and student interaction in online learning
title_sort Student satisfaction and student interaction in online learning
author Pires, André Cardoso
author_facet Pires, André Cardoso
author_role author
dc.contributor.none.fl_str_mv Amaro, Ana Paula
RUN
dc.contributor.author.fl_str_mv Pires, André Cardoso
dc.subject.por.fl_str_mv Education
Online
Predictability
Student satisfaction
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Education
Online
Predictability
Student satisfaction
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description This work project aims to study what factors can best predict student satisfaction in online learning. A survey was designed based on existing research and distributed among Masters students. The predictor variables were student-content, student-instructor, student-student and student-technology interactions. The data was analyzed using multiple regressions and ANOVAs. The results confirm that student-content and student-instructor interactions area focal point of online learning while suggesting the opposite for student-technology interaction and being inconclusive for student-student interaction. The conclusions should be analyzed with the study limitations in mind, namely the sample used and the COVID-19 pandemic situation.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-29
2021-05-12
2021-06-29T00:00:00Z
2022-01-17T13:44:25Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/130985
TID:202770281
url http://hdl.handle.net/10362/130985
identifier_str_mv TID:202770281
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 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
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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
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