Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/85249
Author(s): Rodolfo Matos
Armando Jorge Sousa
Title: Using plagiarism detection tools in order to control group work submissions in large courses
Issue Date: 2015-03
Abstract: Peer education and teamwork are looked upon as important educational tools due to the massificationof higher education programmes. As such, teams frequently produce several deliverables throughouta given course, and these should be properly organized and assessed.As the deliverables submission process often occur in large numbers, any attempt to manage theprocedure too tightly is bound to make the evaluators spend a lot of time just checking, controlling andcorrecting each individual submission; assessing these vast numbers of deliverables, is anotherproblem, which is simply too vast to tackle in this article. Nevertheless, we do use plagiarism detectiontools which offer invaluable information to evaluators. These mentioned tools are also used in anunsuspecting way: while allowing the students to submit the deliverables in a loose way, these toolscan 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 testedin a course which has roughly one thousand students enrolled in, and that had effectively produced acourse-portfolio of an organized set with all deliverables in an (almost totally) automated manner.
URI: https://hdl.handle.net/10216/85249
Source: Proceedings of INTED2015 Conference
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional
REIT - Artigo em Livro de Atas de Conferência Internacional

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