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Evaluating student behaviour on the mathE platform - clustering algorithms approaches

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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.accessioned2023-03-20T15:41:44Z
dc.date.available2023-03-20T15:41:44Z
dc.date.issued2022
dc.description.abstractThe MathE platform is an online educational platform that aims to help students who struggle to learn college mathematics as well as students who wish to deepen their knowledge on subjects that rely on a strong mathematical background, at their own pace. The MathE platform is currently being used by a significant number of users, from all over the world, as a tool to support and engage students, ensuring new and creative ways to encourage them to improve their mathematical skills. This paper is addressed to evaluate the students’ performance on the Linear Algebra topic, which is a specific topic of the MathE platform. In order to achieve this goal, four clustering algorithms were considered; three of them based on different bio-inspired techniques and the k-means algorithm. The results showed that most students choose to answer only basic level questions, and even within that subset, they make a lot of mistakes. When students take the risk of answering advanced questions, they make even more mistakes, which causes them to return to the basic level questions. Considering these results, it is now necessary to carry out an in-depth study to reorganize the available questions according to other levels of difficulty, and not just between basic and advanced levels as it is.pt_PT
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 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAzevedo, Beatriz; Flamia; Maria A. C. Rocha, Ana; Fernandes, Florbela P.; Pacheco, Maria F. ;Pereira, Ana I. (2022). Evaluating student behaviour on the mathE platform - clustering algorithms approaches. In 16 International Conference Learning and Intelligen Optimization. Lionpt_PT
dc.identifier.urihttp://hdl.handle.net/10198/27866
dc.language.isoengpt_PT
dc.relationALGORITMI Research Center
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAutomatic clustering algorithmspt_PT
dc.subjectOptimizationpt_PT
dc.subjectBio-inspired methodspt_PT
dc.subjecte-learning technologypt_PT
dc.titleEvaluating student behaviour on the mathE platform - clustering algorithms approachespt_PT
dc.typeconference paper
dspace.entity.typePublication
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.conferencePlaceLionpt_PT
oaire.citation.title16 International Conference Learning and Intelligen Optimizationpt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
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
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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