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Comparison between single and multi-objective clustering algorithms: mathE case study

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datacite.subject.fosCiências Naturais::Matemáticas
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorAzevedo, Beatriz Flamia
dc.contributor.authorRocha, Ana Maria A.C.
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2026-03-02T15:02:17Z
dc.date.available2026-03-02T15:02:17Z
dc.date.issued2024
dc.description.abstractThis paper compares the results obtained for four single clustering algorithms with a multi-objective clustering approach. For this, a dataset describing the student’s behavior within the Linear Algebra topic on the MathE e-learning platform is used. This dataset aids in understanding student performance and engagement in MathE to support the development of an intelligent system to tailor the platform’s resources to users’s needs. The four algorithms suggested two clusters as the optimal solution for the dataset. However, this binary categorization did not provide meaningful insights into the proposal of the MathE platform; that is, it did not provide a customized system according to individual needs. Thus, this study uses the multi-objective clustering algorithm, which results in a set of non-dominated solutions, providing decision-makers with a broader range of options to choose the solution that best meets their needs. The results demonstrate the main benefits of the proposed human-in-the-loop multi-objective approach since it provides several optimal solutions and allows the decision-maker to apply fundamental knowledge to define the most appropriate solution to the problem based on previous knowledge.eng
dc.description.sponsorshipThis work has been supported by FCT Fundação para a Ciência e Tecnologia within the R&D Units Project Scope UIDB/00319/2020, UIDB/05757/2020 (DOI: 10.54499/UIDB/057 57/2020), UIDP/05757/2020 (DOI: 10.54499/UIDP/05757/2020) and Erasmus Plus KA2 within the project 2021-1-PT01-KA220-HED-000023288. Beatriz Flamia Azevedo is supported by FCT Grant Reference SFRH/BD/07427/2021.
dc.identifier.citationAzevedo, Beatriz Flamia; Rocha, Ana Maria A.C.; Fernandes, Florbela P.; Pacheco, Maria F.; Pereira, Ana I. (2024). Comparison Between single and multi-objective clustering algorithms: mathE case study. In 4th International Conference, OL2A 2024. Cham: Springer Nature. Part 1, p. 65–80. ISBN 978-3-031-77426-3. DOI: 10.1007/978-3-031-77426-3_5
dc.identifier.doi10.1007/978-3-031-77426-3_5
dc.identifier.isbn978-3-031-77425-6
dc.identifier.isbn978-3-031-77426-3
dc.identifier.urihttp://hdl.handle.net/10198/35913
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationALGORITMI Research Center
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationSFRH/BD/07427/2021
dc.relation.ispartofCommunications in Computer and Information Science
dc.relation.ispartofOptimization, Learning Algorithms and Applications
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMulti-objective clustering
dc.subjectAutomatic clustering
dc.subjectOptimization
dc.subjectBio-inspired algorithm
dc.titleComparison between single and multi-objective clustering algorithms: mathE case studypor
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/00319/2020
oaire.awardNumberUIDB/05757/2020
oaire.awardTitleALGORITMI Research Center
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.endPage80
oaire.citation.startPage65
oaire.citation.title4th International Conference, OL2A 2024
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAzevedo
person.familyNameFernandes
person.familyNamePacheco
person.familyNamePereira
person.givenNameBeatriz Flamia
person.givenNameFlorbela P.
person.givenNameMaria F.
person.givenNameAna I.
person.identifier.ciencia-id181E-855C-E62C
person.identifier.ciencia-id501D-6FD0-CC53
person.identifier.ciencia-idF319-DAC3-8F15
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0002-8527-7409
person.identifier.orcid0000-0001-9542-4460
person.identifier.orcid0000-0001-7915-0391
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id35179471000
person.identifier.scopus-author-id36802474600
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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