Publicação
Learning analytics to validate academic performance analysis
| dc.contributor.author | Oliveira, Pedro Filipe | |
| dc.contributor.author | Matos, Paulo | |
| dc.date.accessioned | 2024-07-09T08:29:48Z | |
| dc.date.available | 2024-07-09T08:29:48Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | The learning prodcess is increasingly on the agenda. As well as the mechanisms that can be used to optimize it, both in terms of improving student performance, as well as improving teacher performance. On this subject, there has been continuous research, and increasingly trying to take advantage of technological development, and thus be able to take full advantage of technology and achieve a significant leverage in this field. This work is developed within the scope of the evaluation of school performance. Namely, with the introduction of additional and customized resources, such as thematic courses on the Coursera platform, and the utilization analysis of the e-learning platform used by the teaching institution. With this, it was possible to develop some tools, which are used as dashboards to give the teacher a greater perception of the student's learning process and performance. And if any student is in the prospect of failing, the teacher receives an immediate notification, so that he can carry out the respective follow-up, and thus be able to act proactively to avoid failure. | pt_PT |
| dc.description.sponsorship | The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Oliveira, Pedro Filipe; Matos, Paulo (2023). Learning analytics to validate academic performance analysis. In 9th International Conference on Engineering and Emerging Technologies (ICEET). Istanbul: IEEE. p. 1-4. ISBN 979-8-3503-1692-6 | pt_PT |
| dc.identifier.doi | 10.1109/ICEET60227.2023.10525855 | pt_PT |
| dc.identifier.isbn | 979-835031692-6 | |
| dc.identifier.uri | http://hdl.handle.net/10198/30011 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.relation | LA/P/0007/2021 | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Academic-performance | pt_PT |
| dc.subject | Coursera | pt_PT |
| dc.subject | Dashboar | pt_PT |
| dc.subject | Learning-analytics | pt_PT |
| dc.title | Learning analytics to validate academic performance analysis | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDB/05757/2020 | |
| oaire.awardNumber | UIDP/05757/2020 | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.citation.endPage | 4 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | 9th International Conference on Engineering and Emerging Technology, ICEET 2023 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Oliveira | |
| person.familyName | Matos | |
| person.givenName | Pedro Filipe | |
| person.givenName | Paulo | |
| person.identifier | R-002-2BA | |
| person.identifier.ciencia-id | 7E15-B360-5AD3 | |
| person.identifier.ciencia-id | DD15-B2BC-3908 | |
| person.identifier.orcid | 0000-0002-2848-1606 | |
| person.identifier.orcid | 0000-0003-0010-4777 | |
| person.identifier.rid | C-7882-2017 | |
| person.identifier.rid | I-5726-2018 | |
| person.identifier.scopus-author-id | 57193342842 | |
| 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 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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