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Analyzing the mathE platform through clustering algorithms

2022Conference object Open access
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dc.contributor.authorAzevedo, Beatriz Flamia
dc.contributor.authorAmoura, Yahia
dc.contributor.authorRocha, Ana Maria A.C.
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2023-02-28T15:13:01Z
dc.date.available2023-02-28T15:13:01Z
dc.date.issued2022
dc.description.abstractUniversity lecturers have been encouraged to adopt innovative methodologies and teaching tools in order to implement an interactive and appealing educational environment. The MathE platform was created with the main goal of providing students and teachers with a new perspective on mathematical teaching and learning in a dynamic and appealing way, relying on digital interactive technologies that enable customized study. The MathE platform has been online since 2019, having since been used by many students and professors around the world. However, the necessity for some improvements on the platform has been identified, in order to make it more interactive and able to meet the needs of students in a customized way. Based on previous studies, it is known that one of the urgent needs is the reorganization of the available resources into more than two levels (basic and advanced), as it currently is. Thus, this paper investigates, through the application of two clustering methodologies, the optimal number of levels of difficulty to reorganize the resources in the MathE platform. Hierarchical Clustering and three Bio-inspired Automatic Clustering Algorithms were applied to the database, which is composed of questions answered by the students on the platform. The results of both methodologies point out six as the optimal number of levels of difficulty to group the resources offered by the platform.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAzevedo, Beatriz Flamia; Amoura, Yahia; Rocha, Ana Maria A.C.; Fernandes, Florbela P.; Pacheco, Maria F.; Pereira, Ana I. (2022). Analyzing the mathE platform through clustering algorithms. In 22nd International Conference on Computational Science and Its Applications , ICCSA 2022. Malagapt_PT
dc.identifier.doi10.1007/978-3-031-10562-3_15pt_PT
dc.identifier.issn03029743
dc.identifier.urihttp://hdl.handle.net/10198/27316
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectClusteringpt_PT
dc.subjectData analysispt_PT
dc.subjectE-learningpt_PT
dc.subjectEducational technologypt_PT
dc.subjectMachine learningpt_PT
dc.titleAnalyzing the mathE platform through clustering algorithmspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMalagapt_PT
oaire.citation.endPage218pt_PT
oaire.citation.startPage201pt_PT
oaire.citation.title22nd International Conference on Computational Science and Its Applications , ICCSA 2022pt_PT
person.familyNameAzevedo
person.familyNameAmoura
person.familyNameFernandes
person.familyNamePacheco
person.familyNamePereira
person.givenNameBeatriz Flamia
person.givenNameYahia
person.givenNameFlorbela P.
person.givenNameMaria F.
person.givenNameAna I.
person.identifier.ciencia-id181E-855C-E62C
person.identifier.ciencia-id1C1C-915D-DB4E
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.orcid0000-0002-8811-0823
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
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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