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Dataset of mathematics learning and assessment of higher education students using the MathE platform

2024Journal article Open access
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dc.contributor.authorAzevedo, Beatriz Flamia
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2024-05-16T16:03:43Z
dc.date.available2024-05-16T16:03:43Z
dc.date.issued2024
dc.description.abstractHigher education institutions are promoting the adoption of innovative methodologies and instructional approaches to engage and promote personalized learning paths to their students. Several strategies based on gamification, artificial intelligence, and data mining are adopted to create an interactive educational setting centred around students. Within this personalized learning environment, there is a notable boost in student engagement and enhanced educational outcomes. The MathE platform, an online educational system introduced in 2019, is specifically crafted to support students tackling difficulties in comprehending higher-education-level mathematics or those aspiring to deepen their understanding of diverse mathematical topics - all at their own pace. The MathE platform provides multiple-choice questions, categorized under topics and subtopics, aligning with the content taught in higher education courses. Accessible to students worldwide, the platform enables them to train their mathematical skills through these resources. When the students log in to the training area of the platform, they choose a topic to study and specify whether they prefer basic or advanced questions. The platform then selects a set of seven multiple choice questions from the available ones under the chosen topic and generates a test for the student. After completing and submitting the test, the answers are recorded and stored on the platform. This paper describes the data stored in the MathE platform, focusing on the 9546 answers to 833 ques- tions, provided by 372 students from 8 countries who use the platform to practice their skills using the questions (and other resources) available on the platform. The information in this paper will help research about active learning tools to support the improvement of future education, especially at higher educational level. Furthermore, these data are valu- able for understanding student learning patterns, assessing platform efficacy, gaining a global perspective on mathemat- ics education, and contributing to the advancement of active learning tools for higher education. (c) 2024 Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)pt_PT
dc.description.sponsorshipThis work has been supported by FCT Fundacao para a Ciencia e Tecnologia within the R\& D Units Project Scope UIDB/05757/2020 , UIDP/05757/2020 , SusTEC LA/P/0007/2021 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; Pacheco, Maria F.; Fernandes, Florbela P.; Pereira, Ana I. (2024). Dataset of mathematics learning and assessment of higher education students using the MathE platform. Data in Brief. ISSN 2352-3409. 53, p. 1-7pt_PT
dc.identifier.doi10.1016/j.dib.2024.110236pt_PT
dc.identifier.issn2352-3409
dc.identifier.urihttp://hdl.handle.net/10198/29780
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectActive learningpt_PT
dc.subjectCollaborative learningpt_PT
dc.subjectE-learningpt_PT
dc.subjectEducational technologypt_PT
dc.subjectStudent engagementpt_PT
dc.subjectLearning analyticspt_PT
dc.subjectAdaptive learningpt_PT
dc.subjectMathpt_PT
dc.titleDataset of mathematics learning and assessment of higher education students using the MathE platformpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.endPage7pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleData in Briefpt_PT
oaire.citation.volume53pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFlamia de Azevedo
person.familyNamePacheco
person.familyNameFernandes
person.familyNamePereira
person.givenNameBeatriz Cristina
person.givenNameMaria F.
person.givenNameFlorbela P.
person.givenNameAna I.
person.identifier.ciencia-id181E-855C-E62C
person.identifier.ciencia-idF319-DAC3-8F15
person.identifier.ciencia-id501D-6FD0-CC53
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0002-8527-7409
person.identifier.orcid0000-0001-7915-0391
person.identifier.orcid0000-0001-9542-4460
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id36802474600
person.identifier.scopus-author-id35179471000
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.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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