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Implementation of big data analytics tool in a higher education institution

dc.contributor.authorFranco, Tiago
dc.contributor.authorAlves, Paulo
dc.contributor.authorPedrosa, Tiago
dc.contributor.authorPereira, Maria João
dc.contributor.authorCanão, José
dc.date.accessioned2022-04-21T10:17:58Z
dc.date.available2022-04-21T10:17:58Z
dc.date.issued2021
dc.description.abstractIn search of intelligent solutions that could help improve teaching in higher education, we discovered a set of analyzes that had already been discussed and just needed to be implemented. We believe that this reality can be found in several educational institutions, with paper or mini-projects that deal with educational data and can have positive impacts on teaching. Because of this, we designed an architecture that could extract from multiple sources of educational data and support the implementation of some of these projects found. The results show an important tool that can contribute positively to the teaching institution. Effectively, we can highlight that the implementation of a predictive model of students at risk of dropping out will bring a new analytical vision. Also, the system’s practicality will save managers a lot of time in creating analyzes of the state of the institutions, respecting privacy concerns of the manipulated data, supported by a secure development methodology.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFranco, Tiago; Alves, Paulo; Pedrosa, Tiago; Pereira, Maria João; Canão, J. (2021). Implementation of big data analytics tool in a higher education institution. In World Conference on Information Systems and Technologies, WorldCIST 2021. Virtual, Online. 1365pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/25395
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationFCT - Fundação para a Ciência e a Tecnologia under Project UIDB / 05757/2020 and Cognita Project (project number NORTE-01- 0247-FEDER-038336), funded by the Norte 2020 - Norte's Regional Operational Programme, Portugal 2020 and the European Union, through the European Regional Development Fundpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBig data analyticspt_PT
dc.subjectWeb-based toolpt_PT
dc.subjectHigher education ·pt_PT
dc.subjectData extractionpt_PT
dc.subjectMachine learningpt_PT
dc.titleImplementation of big data analytics tool in a higher education institutionpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceVirtual, Onlinept_PT
oaire.citation.titleWorld Conference on Information Systems and Technologies, WorldCIST 2021pt_PT
oaire.citation.volume1365pt_PT
person.familyNameFranco
person.familyNameAlves
person.familyNamePedrosa
person.familyNamePereira
person.givenNameTiago
person.givenNamePaulo
person.givenNameTiago
person.givenNameMaria João
person.identifierUAMm8moAAAAJ&hl
person.identifier.ciencia-id7F19-C649-5DD9
person.identifier.ciencia-idC319-FC42-5B6B
person.identifier.ciencia-idB81E-0583-AEDF
person.identifier.ciencia-idC912-4A49-A3B3
person.identifier.orcid0000-0001-8574-4380
person.identifier.orcid0000-0002-0100-8691
person.identifier.orcid0000-0003-4873-2705
person.identifier.orcid0000-0001-6323-0071
person.identifier.ridG-2249-2011
person.identifier.ridG-5999-2011
person.identifier.scopus-author-id57223608236
person.identifier.scopus-author-id55834442100
person.identifier.scopus-author-id35318153700
person.identifier.scopus-author-id13907870300
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscovery43d3b0cd-8fd9-4194-a9df-9cca66f8726b

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