Repository logo
 
Publication

Plagiarism Detection in Algorithms - a Case Study using Algorithmi

2020Conference object Open access
Simple item page
dc.contributor.authorManso, António
dc.contributor.authorMarques, C. G.
dc.contributor.authorSantos, Paulo
dc.contributor.authorAlencar, Vitor
dc.date.accessioned2024-03-14T11:56:28Z
dc.date.available2024-03-14T11:56:28Z
dc.date.issued2020
dc.date.updated2024-03-05T11:43:02Z
dc.description.abstractLearning to program is crucial in computer science degree programmes. For students to gain this skill, they need to practise a lot, since programming is a difficult and complex process and practice improves it. The courses "Algorithmics" and "Introduction to programming" have therefore become almost insurmountable barriers with high failure rates. To overcome these barriers, researchers have sought to find new ways of teaching. For their part, students have looked for ways to succeed with less effort by repeatedly resorting to plagiarism. The need for classes to be taught remotely due to the pandemic has further aggravated this problem. To fight it, we created the Algorithmi tool and equipped it with a plagiarism detection module. This tool promotes stand-alone study by allowing self-correction of the exercises whilst validating authorship. This paper presents a case study on the application of the plagiarism module to the exercise resolutions submitted by the students in their personal repository. Through the analysis of the results obtained we can conclude that there was a high rate of plagiarism. The current version of the tool needs to be extended with new features, not only to become more accurate, but above all to prevent plagiarism from happening.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.issn1613-0073
dc.identifier.otherhttp://ceur-ws.org/Vol-2733/paper23.pdf
dc.identifier.slugcv-prod-2568645
dc.identifier.urihttp://hdl.handle.net/10400.26/50254
dc.language.isoengpt_PT
dc.subjectAlgorithmipt_PT
dc.subjectLearning Systemspt_PT
dc.subjectProgramming Languagespt_PT
dc.subjectAlgorithmspt_PT
dc.subjecttutorpt_PT
dc.subjectassessmentpt_PT
dc.subjectplagiarism detectionpt_PT
dc.titlePlagiarism Detection in Algorithms - a Case Study using Algorithmipt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceSpainpt_PT
oaire.citation.title22th International Symposium on Computers in Education, SIIE 2020pt_PT
oaire.citation.volume2733pt_PT
person.familyNameManso
person.familyNameCardoso Marques
person.familyNameSantos
person.givenNameAntónio
person.givenNameCélio Gonçalo
person.givenNamePaulo Alexandre Gomes
person.identifierAAG-8898-2021
person.identifier.ciencia-idAE17-1477-51C0
person.identifier.ciencia-id1818-1D13-CA36
person.identifier.ciencia-id7F19-9B6E-CB68
person.identifier.orcid0000-0003-2504-0642
person.identifier.orcid0000-0002-1503-0363
person.identifier.orcid0000-0002-5604-8009
person.identifier.ridB-1579-2016
person.identifier.scopus-author-id36185721200
person.identifier.scopus-author-id25654981300
rcaap.cv.cienciaid1818-1D13-CA36 | Célio Gonçalo Cardoso Marques
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication1f510467-3ed4-4849-b400-a60429407a26
relation.isAuthorOfPublication447ee98f-ecb6-4894-8fe7-0cde62224ece
relation.isAuthorOfPublication943c1309-71c5-4955-810c-4699aa63be8d
relation.isAuthorOfPublication.latestForDiscovery1f510467-3ed4-4849-b400-a60429407a26

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
2020_Plagiarism_Detection_in_Algorithms_-_a_Case_Study_using_Algorithmi.pdf
Size:
1.36 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.89 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

IPT - Techn&Art - Artigos em Conferências