Assessment of skills and adaptive learning for parametric exercises combining knowledge spaces and item response theory

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dc.contributor.author Muñoz Merino, Pedro José
dc.contributor.author Gonzalez Novillo, Ruth
dc.contributor.author Delgado Kloos, Carlos
dc.date.accessioned 2020-10-09T10:43:22Z
dc.date.available 2020-10-09T10:43:22Z
dc.date.issued 2018-07-01
dc.identifier.bibliographicCitation Muñoz-Merino, P. J., Ganzález Novillo, R. y Delgado Kloos, C. (2018). Assessment of skills and adaptive learning for parametric exercises combining knowledge spaces and item response theory. Applied Soft Computing, 68, pp. 110-124.
dc.identifier.issn 1568-4946
dc.identifier.uri http://hdl.handle.net/10016/31172
dc.description.abstract Many computer systems implement different methods for the estimation of students' skills and adapt the generated exercises depending on such skills. Knowledge Spaces (KS) is a method for curriculum sequencing but fine-grained decisions for selecting next exercises among the candidates are not taken into account, which can be obtained with the application of techniques such as Item Response Theory (IRT).
dc.description.sponsorship This work was supported by the Smartick company (project entitled “ANÁLISIS, EVOLUCIÓN, PROPUESTAS DE MEJORA y DESARROLLO DEL SISTEMA DE APRENDIZAJE ADAPTATIVOY ANALÍTICA DEL APRENDIZAJE DE LA PLATAFORMA SMARTICK”), by the Madrid Regional Government(eMadrid project, grant number S2013/ICE-2715), and by the Spanish Ministry of Economy and Competiveness (Smartlet project,grant number TIN2017-85179-C3-1-R) funded by the Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional (FEDER).
dc.format.extent 46
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2018 Elsevier B.V. All rights reserved.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Skill modelling
dc.subject.other Item response theory
dc.subject.other Knowledge spaces
dc.subject.other Adaptive learning
dc.title Assessment of skills and adaptive learning for parametric exercises combining knowledge spaces and item response theory
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1016/j.asoc.2018.03.045
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2013/ICE-2715
dc.relation.projectID Gobierno de España. TIN2017-85179-C3-1-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 110
dc.identifier.publicationlastpage 124
dc.identifier.publicationtitle Applied Soft Computing
dc.identifier.publicationvolume 68
dc.identifier.uxxi AR/0000021648
dc.contributor.funder Comunidad de Madrid
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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