Publication
Categorizing Students of the MathE Platform: A Fuzzy Clustering Perspective
datacite.subject.fos | Engenharia e Tecnologia | |
datacite.subject.sdg | 04:Educação de Qualidade | |
datacite.subject.sdg | 10:Reduzir as Desigualdades | |
dc.contributor.author | Leite, Gabriel A. | |
dc.contributor.author | Azevedo, Beatriz Flamia | |
dc.contributor.author | Pacheco, Maria F. | |
dc.contributor.author | Fernandes, Florbela P. | |
dc.contributor.author | Pereira, Ana I. | |
dc.contributor.editor | Pellegrino | |
dc.date.accessioned | 2025-05-05T11:08:26Z | |
dc.date.available | 2025-05-05T11:08:26Z | |
dc.date.issued | 2025 | |
dc.description.abstract | Active learning and technology integration offer enhanced student engagement and adaptive learning, accommodating diverse preferences. This work uses fuzzy clustering method to analyze the data of students who answer questions on the MathE platform. To do this, the Fuzzy c-means algorithm was used, which allows flexibility and adaptability in the clustering partitioning, especially in situations where data elements may exhibit overlapping characteristics or belong to multiple categories. Thereby, two datasets are considered: the first is composed of 121 students who answered questions from the Vector Space subtopic, and the second dataset comprises the answers of 297 students who answered to any topic or subtopic of the platform. The results show that the fuzzy clustering method is appropriate for analyzing the student’s data since most students are highly associated with more than one cluster. Besides, the findings can support the formulation of intervention strategies to improve the student’s academic achievement. | eng |
dc.description.sponsorship | This 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.citation | Leite, G., Azevedo, B.F., Pacheco, M.F., Fernandes, F.P., Pereira, A.I. (2025). Categorizing Students of the MathE Platform: A Fuzzy Clustering Perspective. In 14th International Conference. MIS4TEL 2024. Cham: Springer Nature, p. 246-257. ISBN 978-3-031-85560-3 | |
dc.identifier.doi | 10.1007/978-3-031-85561-0_20 | |
dc.identifier.isbn | 978-3-031-85560-3 | |
dc.identifier.uri | http://hdl.handle.net/10198/34455 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.publisher | Springer Nature | |
dc.relation | ALGORITMI Research Center | |
dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
dc.relation.ispartofseries | Lecture Notes in Networks and Systems | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.title | Categorizing Students of the MathE Platform: A Fuzzy Clustering Perspective | eng |
dc.type | conference paper | |
dspace.entity.type | Publication | |
oaire.awardTitle | ALGORITMI Research Center | |
oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
oaire.citation.endPage | 257 | |
oaire.citation.startPage | 246 | |
oaire.citation.title | 14th International Conference. MIS4TEL 2024 | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
person.familyName | Leite | |
person.familyName | Azevedo | |
person.familyName | Pacheco | |
person.familyName | Fernandes | |
person.familyName | Pereira | |
person.givenName | Gabriel A. | |
person.givenName | Beatriz Flamia | |
person.givenName | Maria F. | |
person.givenName | Florbela P. | |
person.givenName | Ana I. | |
person.identifier.ciencia-id | 8A1D-BE60-F58E | |
person.identifier.ciencia-id | 181E-855C-E62C | |
person.identifier.ciencia-id | F319-DAC3-8F15 | |
person.identifier.ciencia-id | 501D-6FD0-CC53 | |
person.identifier.ciencia-id | 0716-B7C2-93E4 | |
person.identifier.orcid | 0009-0008-3273-0450 | |
person.identifier.orcid | 0000-0002-8527-7409 | |
person.identifier.orcid | 0000-0001-7915-0391 | |
person.identifier.orcid | 0000-0001-9542-4460 | |
person.identifier.orcid | 0000-0003-3803-2043 | |
person.identifier.rid | F-3168-2010 | |
person.identifier.scopus-author-id | 36802474600 | |
person.identifier.scopus-author-id | 35179471000 | |
person.identifier.scopus-author-id | 15071961600 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
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