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dc.contributorEscuela Superior y Tecnica de Ingenieros de Minases_ES
dc.contributor.authorRodríguez-Martín, Manuel
dc.contributor.authorSánchez, Alberto
dc.contributor.authorSánchez, Javier Ramón
dc.contributor.authorRodríguez Gonzálvez, Pablo 
dc.contributor.otherIngeniería Cartografica, Geodesica y Fotogrametriaes_ES
dc.date2019-11-10
dc.date.accessioned2020-08-11T22:47:34Z
dc.date.available2020-08-11T22:47:34Z
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10612/12344
dc.description17 p.es_ES
dc.description.abstractSimulation activities are a useful tool to improve competence in industrial engineering bachelors. Specifically, fluid simulation allows students to acquire important skills to strengthen their theoretical knowledge and improve their future professional career. However, these tools usually require long training times and they are usually not available in the subjects of B.Sc. degrees. In this article, a new methodology based on short lessons is raised and evaluated in the fluid-mechanical subject for students enrolled in three different bachelor degree groups: B.Sc. in Mechanical Engineering, B.Sc. in Electrical Engineering and B.Sc. in Electronic and Automatic Engineering. Statistical results show a good acceptance in terms of usability, learning, motivation, thinking over, satisfaction and scalability. Additionally, a machine-learning based approach was applied to find group peculiarities and differences among them in order to identify the need for further personalization of the learning activity.es_ES
dc.languageenges_ES
dc.publisherMDPIes_ES
dc.subjectIngenieríases_ES
dc.subject.otherComputational Fluid Dynamices_ES
dc.subject.otherTeaching-learninges_ES
dc.subject.otherEngineering educationes_ES
dc.subject.otherComputer applicationses_ES
dc.subject.otherClassification problemes_ES
dc.subject.otherMachine learninges_ES
dc.titleShort CFD simulation activities in the context of fluid-mechanical learning in a multidisciplinary student bodyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttps://doi.org/10.3390/app9224809
dc.description.peerreviewedSIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleApplied Scienceses_ES
dc.volume.number9es_ES
dc.issue.number22es_ES
dc.page.initial4809:1es_ES
dc.page.final4809:17es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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