Publicação
Data analysis techniques applied to the mathE database
| Resumo: | MathE is an international online platform that aims to provide a resource for in-class support as well as an alternative instrument to teach and study mathematics. This work focuses on the investigations of the students’ behavior when answering the training questions available in the platform. In order to draw conclusions about the value of the platform, the ways in which the students use it and what are the most wanted mathematical topics, thus deepening the knowledge about the difficulties faced by the users and finding how to make the platform more efficient, the data collected since the it was launched (3 years ago) is analyzed through the use of data mining and machine learning techniques. In a first moment, a general analysis was performed in order to identify the students’ behavior as well as the topics that require reorganization; it was followed by a second iteration, according to the students’ country of origin, in order to identify the existence of differences in the behavior of students from distinct countries. The results point out that the advanced level of the platform’s questions is not adequate and that the questions should be reorganized in order to ensure a more consistent support for the students’ learning process. Besides, with this analysis it was possible to identify the topics that require more attention through the addition of more questions. Furthermore, it was not possible to identify significant disparities in the students behavior in what concerns the students’ country of origin. |
|---|---|
| Autores principais: | Azevedo, Beatriz Flamia |
| Outros Autores: | Romanenko, Sofia; Pacheco, Maria F.; Fernandes, Florbela P.; Pereira, Ana I. |
| Assunto: | E-learning platforms Mathematics Active learning Education technologies Data analysis |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173099231772672 |
|---|---|
| author | Azevedo, Beatriz Flamia |
| author2 | Romanenko, Sofia Pacheco, Maria F. Fernandes, Florbela P. Pereira, Ana I. |
| author2_role | author author author author |
| author_facet | Azevedo, Beatriz Flamia Romanenko, Sofia Pacheco, Maria F. Fernandes, Florbela P. Pereira, Ana I. |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Azevedo, Beatriz Flamia\",\"Person.identifier.orcid\":\"0000-0002-8527-7409\"},{\"Person.name\":\"Romanenko, Sofia\"},{\"Person.name\":\"Pacheco, Maria F.\",\"Person.identifier.orcid\":\"0000-0001-7915-0391\"},{\"Person.name\":\"Fernandes, Florbela P.\",\"Person.identifier.orcid\":\"0000-0001-9542-4460\"},{\"Person.name\":\"Pereira, Ana I.\",\"Person.identifier.orcid\":\"0000-0003-3803-2043\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Azevedo, Beatriz Flamia Romanenko, Sofia Pacheco, Maria F. Fernandes, Florbela P. Pereira, Ana I. |
| datacite.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-02-27T17:02:49Z |
| datacite.date.embargoed.fl_str_mv | 2023-02-27T17:02:49Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | E-learning platforms Mathematics Active learning Education technologies Data analysis |
| datacite.titles.title.fl_str_mv | Data analysis techniques applied to the mathE database |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Azevedo, Beatriz Flamia Romanenko, Sofia Pacheco, Maria F. Fernandes, Florbela P. Pereira, Ana I. |
| dc.date.Accepted.fl_str_mv | 2022-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-02-27T17:02:49Z |
| dc.date.embargoed.fl_str_mv | 2023-02-27T17:02:49Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/27264 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | E-learning platforms Mathematics Active learning Education technologies Data analysis |
| dc.title.fl_str_mv | Data analysis techniques applied to the mathE database |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | MathE is an international online platform that aims to provide a resource for in-class support as well as an alternative instrument to teach and study mathematics. This work focuses on the investigations of the students’ behavior when answering the training questions available in the platform. In order to draw conclusions about the value of the platform, the ways in which the students use it and what are the most wanted mathematical topics, thus deepening the knowledge about the difficulties faced by the users and finding how to make the platform more efficient, the data collected since the it was launched (3 years ago) is analyzed through the use of data mining and machine learning techniques. In a first moment, a general analysis was performed in order to identify the students’ behavior as well as the topics that require reorganization; it was followed by a second iteration, according to the students’ country of origin, in order to identify the existence of differences in the behavior of students from distinct countries. The results point out that the advanced level of the platform’s questions is not adequate and that the questions should be reorganized in order to ensure a more consistent support for the students’ learning process. Besides, with this analysis it was possible to identify the topics that require more attention through the addition of more questions. Furthermore, it was not possible to identify significant disparities in the students behavior in what concerns the students’ country of origin. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
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| funding.funder.alternateName_str_mv | FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID 6817 - DCRRNI ID |
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| identifier.url.fl_str_mv | http://hdl.handle.net/10198/27264 |
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| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
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| person_str_mv | Azevedo, Beatriz Flamia Azevedo, Beatriz Flamia https://www.ciencia-id.pt/181E-855C-E62C 181E-855C-E62C http://orcid.org/0000-0002-8527-7409 0000-0002-8527-7409 Romanenko, Sofia Pacheco, Maria F. Pacheco, Maria F. https://www.ciencia-id.pt/F319-DAC3-8F15 F319-DAC3-8F15 http://orcid.org/0000-0001-7915-0391 0000-0001-7915-0391 Fernandes, Florbela P. Fernandes, Florbela P. https://www.ciencia-id.pt/501D-6FD0-CC53 501D-6FD0-CC53 http://orcid.org/0000-0001-9542-4460 0000-0001-9542-4460 Pereira, Ana I. Pereira, Ana I. https://www.ciencia-id.pt/0716-B7C2-93E4 0716-B7C2-93E4 http://orcid.org/0000-0003-3803-2043 0000-0003-3803-2043 |
| publishDate | 2022 |
| reponame_str | Biblioteca Digital do IPB |
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| spelling | engpt_PTMathE is an international online platform that aims to provide a resource for in-class support as well as an alternative instrument to teach and study mathematics. This work focuses on the investigations of the students’ behavior when answering the training questions available in the platform. In order to draw conclusions about the value of the platform, the ways in which the students use it and what are the most wanted mathematical topics, thus deepening the knowledge about the difficulties faced by the users and finding how to make the platform more efficient, the data collected since the it was launched (3 years ago) is analyzed through the use of data mining and machine learning techniques. In a first moment, a general analysis was performed in order to identify the students’ behavior as well as the topics that require reorganization; it was followed by a second iteration, according to the students’ country of origin, in order to identify the existence of differences in the behavior of students from distinct countries. The results point out that the advanced level of the platform’s questions is not adequate and that the questions should be reorganized in order to ensure a more consistent support for the students’ learning process. Besides, with this analysis it was possible to identify the topics that require more attention through the addition of more questions. Furthermore, it was not possible to identify significant disparities in the students behavior in what concerns the students’ country of origin.application/pdfpt_PTData analysis techniques applied to the mathE databasePersonalAzevedo, Beatriz FlamiaDSpacehttp://dspace.org/items/04fa4023-3726-4dd5-8d97-f6b162ceb820DSpacehttp://dspace.org/items/04fa4023-3726-4dd5-8d97-f6b162ceb820AzevedoBeatriz FlamiaCiência IDhttps://www.ciencia-id.pt181E-855C-E62CORCIDhttp://orcid.org0000-0002-8527-7409Romanenko, SofiaPersonalPacheco, Maria F.DSpacehttp://dspace.org/items/e56596ca-3238-4fde-ace1-abb363a222e8DSpacehttp://dspace.org/items/e56596ca-3238-4fde-ace1-abb363a222e8PachecoMaria F.Ciência IDhttps://www.ciencia-id.ptF319-DAC3-8F15ORCIDhttp://orcid.org0000-0001-7915-0391Scopus Author IDhttps://www.scopus.com36802474600PersonalFernandes, Florbela P.DSpacehttp://dspace.org/items/1f7a9fde-7a4d-4b2c-8f9d-dab571163c33DSpacehttp://dspace.org/items/1f7a9fde-7a4d-4b2c-8f9d-dab571163c33FernandesFlorbela P.Ciência IDhttps://www.ciencia-id.pt501D-6FD0-CC53ORCIDhttp://orcid.org0000-0001-9542-4460Scopus Author IDhttps://www.scopus.com35179471000PersonalPereira, Ana I.DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846DSpacehttp://dspace.org/items/e9981d62-2a2b-4fef-b75e-c2a14b0e7846PereiraAna I.Ciência IDhttps://www.ciencia-id.pt0716-B7C2-93E4ORCIDhttp://orcid.org0000-0003-3803-2043Researcher IDhttps://www.researcherid.comF-3168-2010Scopus Author IDhttps://www.scopus.com15071961600HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.pt2023-02-27T17:02:49Z20222022-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/27264http://purl.org/coar/access_right/c_abf2open accessE-learning platformsMathematicsActive learningEducation technologiesData analysis608820 bytesFundação para a Ciência e a TecnologiaALGORITMI Research Center6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Robotics6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2022http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/a4d503d9-ac66-42c9-b6af-b9ebbc3e91e4/download2nd International Conference on Optimization, Learning Algorithms and Applications, OL2A 2022Bragança |
| spellingShingle | Data analysis techniques applied to the mathE database Azevedo, Beatriz Flamia E-learning platforms Mathematics Active learning Education technologies Data analysis |
| status | SINGLETON |
| subject.fl_str_mv | E-learning platforms Mathematics Active learning Education technologies Data analysis |
| title | Data analysis techniques applied to the mathE database |
| title_full | Data analysis techniques applied to the mathE database |
| title_fullStr | Data analysis techniques applied to the mathE database |
| title_full_unstemmed | Data analysis techniques applied to the mathE database |
| title_short | Data analysis techniques applied to the mathE database |
| title_sort | Data analysis techniques applied to the mathE database |
| topic | E-learning platforms Mathematics Active learning Education technologies Data analysis |
| topic_facet | E-learning platforms Mathematics Active learning Education technologies Data analysis |
| url | http://hdl.handle.net/10198/27264 |
| visible | 1 |