Repository logo
 
Publication

Modelling academic dropout in computer engineering using arti cial neural networks

2021Conference object Restricted access
Simple item page
dc.contributor.authorCamelo, Diogo
dc.contributor.authorSantos, João C.C.
dc.contributor.authorMartins, Maria Prudência
dc.contributor.authorGouveia, Paulo D.F.
dc.date.accessioned2023-02-17T09:52:37Z
dc.date.available2023-02-17T09:52:37Z
dc.date.issued2021
dc.description.abstractSchool dropout in higher education is an academic, economic, political and social problem, which has a great impact and is difficult to resolve. In order to mitigate this problem, this paper proposes a predictive model of classification, based on artificial neural networks, which allows the prediction, at the end of the first school year, of the propensity that the computer engineering students of a polytechnic institute in the interior of the country have for dropout. A differentiating aspect of this study is that it considers the classifications obtained in the course units of the first academic year as potential predictors of dropout. A new approach in the process of selecting the factors that foreshadow the dropout allowed isolating 12 explanatory variables, which guaranteed a good predictive capacity of the model (AUC = 78.5%). These variables reveal fundamental aspects for the adoption of management strategies that may be more assertive in the combat to academic dropout.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCamelo, Diogo; Santos, João; Martins, Maria Prudência; Gouveia, Paulo D.F. (2021). Modelling academic dropout in computer engineering using arti cial neural networks. In Rocha, Álvaro [et al.] (eds.) Trends and applications in information systems and technologies. Springer, Cham. 1366. p. 141-150pt_PT
dc.identifier.doi10.1007/978-3-030-72651-5_14pt_PT
dc.identifier.isbn978-3-030-72650-8
dc.identifier.urihttp://hdl.handle.net/10198/27023
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer International Publishingpt_PT
dc.relationElectromechatronic Systems Research Centre
dc.relationElectromechatronic Systems Research Centre
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEducational data miningpt_PT
dc.subjectArtificial neural networkpt_PT
dc.subjectAcademic dropoutpt_PT
dc.subjectPredictive modelpt_PT
dc.titleModelling academic dropout in computer engineering using arti cial neural networkspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleElectromechatronic Systems Research Centre
oaire.awardTitleElectromechatronic Systems Research Centre
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04131%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04131%2F2020/PT
oaire.citation.endPage150pt_PT
oaire.citation.startPage141pt_PT
oaire.citation.titleTrends and applications in information systems and technologiespt_PT
oaire.citation.volume1366pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMartins
person.familyNameGouveia
person.givenNameMaria Prudência
person.givenNamePaulo D.F.
person.identifier.ciencia-id4C16-9EE4-B35D
person.identifier.orcid0000-0001-9281-7138
person.identifier.orcid0000-0003-3049-6230
person.identifier.scopus-author-id20433578000
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.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication43e52986-3314-423b-a1b3-f634412c58a1
relation.isAuthorOfPublication41c37437-90c4-4e40-893b-44fe4ae1f159
relation.isAuthorOfPublication.latestForDiscovery41c37437-90c4-4e40-893b-44fe4ae1f159
relation.isProjectOfPublicationa2406b55-be4f-4ab4-8e7d-eb8fca362309
relation.isProjectOfPublication2f1bcd02-160b-4546-b88d-594ee9732453
relation.isProjectOfPublication.latestForDiscovery2f1bcd02-160b-4546-b88d-594ee9732453

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
modelling academic.pdf
Size:
411.58 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus