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Insights from a five-year academic analytics observatory: challenges and achievements

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Engenharia dos Materiais
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorFranco, Tiago
dc.contributor.authorAlves, Paulo
dc.contributor.authorRufino, José
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorRibeiro, Nuno A.
dc.date.accessioned2026-05-08T15:39:35Z
dc.date.available2026-05-08T15:39:35Z
dc.date.issued2025
dc.description.abstractThis paper presents a five-year case study of the development and operation of the Academic Success Observatory, an institutional platform designed to support data-driven academic management in higher education. The system combines automated data extraction modules, interactive dashboards, and a machine learning-based dropout prediction model. Drawing from three institutional databases, updated weekly, the platform enables continuous monitoring of academic indicators, report generation, and targeted support actions. The article discusses key technical and institutional challenges faced, as well as the benefits of integrating the platform into the academic decisionmaking process. The results highlight the system’s potential to enhance decision-making, enable faster interventions, and foster a data-informed institutional culture.eng
dc.description.sponsorshipThis work was supported by national funds: UID/05757 – Research Centre in Digitalization and Intelligent Robotics (CeDRI); SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020); and the project “Drop-in@IPB 2.0 – Caminhos para a Integração e Sucesso Académico dos Estudantes do Instituto Politécnico de Bragança”, funded by RE-C06-i07 — Impulso Mais Digital, under the PRR – Recovery and Resilience Plan.
dc.identifier.citationFranco, Tiago; Alves, Paulo; Rufino, José; Pacheco, Maria F.; Ribeiro, Nuno A. (2026). Insights from a five-year academic analytics observatory: challenges and achievements. In SIIE 2025 - 27th International Symposium of Education on Computers in Education. IEEE. p. 1-7. ISBN 979-833156257-1
dc.identifier.doi10.1109/siie68580.2025.11368366
dc.identifier.isbn979-833156257-1
dc.identifier.urihttp://hdl.handle.net/10198/36597
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
dc.relation.ispartof2025 International Symposium on Computers in Education (SIIE)
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectAcademic analytics
dc.subjectLearning analytics
dc.subjectDropout prediction
dc.subjectEducational dashboards
dc.subjectHigher education
dc.titleInsights from a five-year academic analytics observatory: challenges and achievementseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.conferencePlaceViseu, Portugal
oaire.citation.endPage7
oaire.citation.startPage1
oaire.citation.titleSIIE 2025 - 27th International Symposium of Education on Computers in Education
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFranco
person.familyNameAlves
person.familyNameRufino
person.familyNamePacheco
person.familyNameRibeiro
person.givenNameTiago
person.givenNamePaulo
person.givenNameJosé
person.givenNameMaria F.
person.givenNameNuno A.
person.identifierUAMm8moAAAAJ&hl
person.identifier.ciencia-id7F19-C649-5DD9
person.identifier.ciencia-idC319-FC42-5B6B
person.identifier.ciencia-idC414-F47F-6323
person.identifier.ciencia-idF319-DAC3-8F15
person.identifier.ciencia-id3A15-6987-AF07
person.identifier.orcid0000-0001-8574-4380
person.identifier.orcid0000-0002-0100-8691
person.identifier.orcid0000-0002-1344-8264
person.identifier.orcid0000-0001-7915-0391
person.identifier.orcid0000-0002-5070-647X
person.identifier.scopus-author-id57223608236
person.identifier.scopus-author-id55834442100
person.identifier.scopus-author-id55947199100
person.identifier.scopus-author-id36802474600
person.identifier.scopus-author-id56006467300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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