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dc.creatorAciego, Juan Josées
dc.creatorGonzález Prieto, Ángeles
dc.creatorGonzález Prieto, Ignacioes
dc.creatorClaros, Aliciaes
dc.creatorDurán, Mario J.es
dc.creatorBermúdez Guzmán, Marioes
dc.date.accessioned2022-08-30T16:25:56Z
dc.date.available2022-08-30T16:25:56Z
dc.date.issued2022-01
dc.identifier.citationAciego, J.J., González Prieto, Á., González Prieto, I., Claros, A., Durán, M.J. y Bermúdez, M. (2022). On the Use of Predictive Tools to Improve the Design of Undergraduate Courses. IEEE Access, 10, 3105-3115.
dc.identifier.issn2169-3536es
dc.identifier.urihttps://hdl.handle.net/11441/136546
dc.description.abstractAlthough technical competences are fundamental at engineering degrees, industry is also requesting the promotion of transversal capabilities. Consequently, the map of target competences may vary over time, area and location. In this context, the design of an undergraduate course is not a trivial task if the promotion of several competences is desired. When such design is manually performed by the teacher using his/her previous experience, the perspective of the students and the information of the previous scores are usually disregarded. Furthermore, the determination of the optimal times for the different activities becomes complex to satisfy a multi-objective problem that aims at balancing technical and soft skills. This paper proposes the use of a predictive tool to assist the design of the course. On the one hand, the predictive algorithm automatically determines the duration of the different activities to fit a specific map of competences. Moreover, the predictive tool also offers valuable information about the perspective of the student and the influence of previous scores using objective indices. The assessment of the proposal is done in a course of Electrical Machines at the University of Malaga (Spain), confirming the capability of the proposed predictive tool to provide a valuable insight on the subject and to automatically determine the duration of different methodological tools.es
dc.description.sponsorshipUniversidad de Málaga PIE19-047.es
dc.formatapplication/pdfes
dc.format.extent11 p.es
dc.language.isoenges
dc.publisherIEEEes
dc.relation.ispartofIEEE Access, 10, 3105-3115.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPredictive controles
dc.subjectTransversal skillses
dc.subjectUndergraduate courseses
dc.titleOn the Use of Predictive Tools to Improve the Design of Undergraduate Courseses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería Eléctricaes
dc.relation.projectIDPIE19-047.es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9666780es
dc.identifier.doi10.1109/ACCESS.2021.3139803es
dc.journaltitleIEEE Accesses
dc.publication.volumen10es
dc.publication.initialPage3105es
dc.publication.endPage3115es

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