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dc.contributorUniversitat Ramon Llull. La Salle
dc.contributor.authorSolé Beteta, Xavier
dc.contributor.authorNavarro Martín, Joan
dc.contributor.authorVernet Bellet, David
dc.contributor.authorZaballos Diego, Agustín
dc.contributor.authorTorres Kompen, Ricardo
dc.contributor.authorFonseca Escudero, David
dc.contributor.authorBriones Delgado, Alan
dc.date.accessioned2021-05-18T16:43:01Z
dc.date.accessioned2023-10-02T06:31:17Z
dc.date.available2022-02-01T01:45:06Z
dc.date.available2023-10-02T06:31:17Z
dc.date.created2020-05
dc.date.issued2021-02
dc.identifier.urihttp://hdl.handle.net/20.500.14342/3274
dc.description.abstractDuring the last decade, Big Data has emerged as a powerful alternative to address latent challenges in scalable data management. The ever-growing amount and rapid evolution of tools, techniques, and technologies associated to Big Data require a broad skill set and deep knowledge of several domains—ranging from engineering to business, including computer science, networking, or analytics among others—which complicate the conception and deployment of academic programs and methodologies able to effectively train students in this discipline. The purpose of this paper is to propose a learning and teaching framework committed to train masters’ students in Big Data by conceiving an intelligent tutoring system aimed to (1) automatically tracking students’ progress, (2) effectively exploiting the diversity of their backgrounds, and (3) assisting the teaching staff on the course operation. Obtained results endorse the feasibility of this proposal and encourage practitioners to use this approach in other domains.eng
dc.format.extent24 p.cat
dc.language.isoengcat
dc.publisherSpringercat
dc.relation.ispartofThe Journal of Supercomputing, 2020, 1818-1852cat
dc.rights© L'autor/a. Tots el drets reservats
dc.sourceRECERCAT (Dipòsit de la Recerca de Catalunya)
dc.subject.otherEnsenyament universitaricat
dc.subject.otherDades massivescat
dc.titleAutomatic tutoring system to support cross-disciplinary training in Big Datacat
dc.typeinfo:eu-repo/semantics/articlecat
dc.typeinfo:eu-repo/semantics/acceptedVersioncat
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.terms12 mesoscat
dc.subject.udc004
dc.subject.udc378
dc.subject.udc62
dc.identifier.doihttps://doi.org/10.1007/s11227-020-03330-xcat
dc.relation.projectIDinfo:eu-repo/grantAgreement/SUR del DEC/SGR/2017-SGR-934cat
dc.relation.projectIDinfo:eu-repo/grantAgreement/SUR del DEC/SGR/2017-SGR-977cat


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