Programming plagiarism as a social phenome

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dc.contributor.authorLuquini E.
dc.contributor.authorOmar N.
dc.date.accessioned2024-03-13T01:10:50Z
dc.date.available2024-03-13T01:10:50Z
dc.date.issued2011
dc.description.abstractThis paper describes a classroom experiment in which detected cases of programming plagiarism were correlated with the classroom's social network. The results suggest that it is possible to understand the amount of similarity between artifacts as an indirect measure of the student social network. These findings imply that it is possible to uncover the classroom social network using only the source code produced by the students. The proposed method may be used as an instrument for considering and applying social techniques to improve student learning. This research is the first step in redefining the role of plagiarism detection in the programming assessment process as an effective learning intervention tool as opposed to a simple disciplinary procedure. © 2011 IEEE.
dc.description.firstpage895
dc.description.lastpage902
dc.identifier.doi10.1109/EDUCON.2011.5773251
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36963
dc.relation.ispartof2011 IEEE Global Engineering Education Conference, EDUCON 2011
dc.rightsAcesso Restrito
dc.subject.otherlanguageautomatic plagiarism detection
dc.subject.otherlanguageprogramming assessment
dc.subject.otherlanguageprogramming plagiarism
dc.subject.otherlanguagesocial network
dc.titleProgramming plagiarism as a social phenome
dc.typeArtigo de evento
local.scopus.citations6
local.scopus.eid2-s2.0-79960246237
local.scopus.subjectAssessment process
local.scopus.subjectDisciplinary procedures
local.scopus.subjectEffective learning
local.scopus.subjectIndirect measure
local.scopus.subjectPlagiarism detection
local.scopus.subjectSocial Networks
local.scopus.subjectSource codes
local.scopus.subjectStudent learning
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79960246237&origin=inward
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