Using plagiarism detection tools in order to control group work submissions in large courses
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/85249 |
Resumo: | Peer education and teamwork are looked upon as important educational tools due to the massification of higher education programmes. As such, teams frequently produce several deliverables throughout a given course, and these should be properly organized and assessed. As the deliverables submission process often occur in large numbers, any attempt to manage the procedure too tightly is bound to make the evaluators spend a lot of time just checking, controlling and correcting each individual submission; assessing these vast numbers of deliverables, is another problem, which is simply too vast to tackle in this article. Nevertheless, we do use plagiarism detection tools which offer invaluable information to evaluators. These mentioned tools are also used in an unsuspecting way: while allowing the students to submit the deliverables in a loose way, these tools can be used to check, and control any wrongdoing with little effort. This article shows the details of the implementation and the lessons learned. The prototype was tested in a course which has roughly one thousand students enrolled in, and that had effectively produced a course-portfolio of an organized set with all deliverables in an (almost totally) automated manner. |
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Using plagiarism detection tools in order to control group work submissions in large coursesPeer education and teamwork are looked upon as important educational tools due to the massification of higher education programmes. As such, teams frequently produce several deliverables throughout a given course, and these should be properly organized and assessed. As the deliverables submission process often occur in large numbers, any attempt to manage the procedure too tightly is bound to make the evaluators spend a lot of time just checking, controlling and correcting each individual submission; assessing these vast numbers of deliverables, is another problem, which is simply too vast to tackle in this article. Nevertheless, we do use plagiarism detection tools which offer invaluable information to evaluators. These mentioned tools are also used in an unsuspecting way: while allowing the students to submit the deliverables in a loose way, these tools can be used to check, and control any wrongdoing with little effort. This article shows the details of the implementation and the lessons learned. The prototype was tested in a course which has roughly one thousand students enrolled in, and that had effectively produced a course-portfolio of an organized set with all deliverables in an (almost totally) automated manner.2015-032015-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/85249engRodolfo MatosArmando Jorge Sousainfo: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:RCAAP2023-11-29T14:06:58Zoai:repositorio-aberto.up.pt:10216/85249Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:55:12.565735Repositório 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 |
Using plagiarism detection tools in order to control group work submissions in large courses |
title |
Using plagiarism detection tools in order to control group work submissions in large courses |
spellingShingle |
Using plagiarism detection tools in order to control group work submissions in large courses Rodolfo Matos |
title_short |
Using plagiarism detection tools in order to control group work submissions in large courses |
title_full |
Using plagiarism detection tools in order to control group work submissions in large courses |
title_fullStr |
Using plagiarism detection tools in order to control group work submissions in large courses |
title_full_unstemmed |
Using plagiarism detection tools in order to control group work submissions in large courses |
title_sort |
Using plagiarism detection tools in order to control group work submissions in large courses |
author |
Rodolfo Matos |
author_facet |
Rodolfo Matos Armando Jorge Sousa |
author_role |
author |
author2 |
Armando Jorge Sousa |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Rodolfo Matos Armando Jorge Sousa |
description |
Peer education and teamwork are looked upon as important educational tools due to the massification of higher education programmes. As such, teams frequently produce several deliverables throughout a given course, and these should be properly organized and assessed. As the deliverables submission process often occur in large numbers, any attempt to manage the procedure too tightly is bound to make the evaluators spend a lot of time just checking, controlling and correcting each individual submission; assessing these vast numbers of deliverables, is another problem, which is simply too vast to tackle in this article. Nevertheless, we do use plagiarism detection tools which offer invaluable information to evaluators. These mentioned tools are also used in an unsuspecting way: while allowing the students to submit the deliverables in a loose way, these tools can be used to check, and control any wrongdoing with little effort. This article shows the details of the implementation and the lessons learned. The prototype was tested in a course which has roughly one thousand students enrolled in, and that had effectively produced a course-portfolio of an organized set with all deliverables in an (almost totally) automated manner. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-03 2015-03-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/85249 |
url |
https://hdl.handle.net/10216/85249 |
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 |
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 |
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1799135872261554176 |