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An Approach for an Affective Educational Recommendation Model

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dc.contributor.authorSantos, Olga C.
dc.contributor.authorGonzález Boticario, Jesús
dc.contributor.authorManjarrés Riesco, Ángeles
dc.coverage.spatialNew York
dc.date.accessioned2025-09-16T07:49:40Z
dc.date.available2025-09-16T07:49:40Z
dc.date.issued2014-01-01
dc.descriptionThis version of the chapter has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-1-4939-0530-0_6
dc.descriptionAuthors would like to thank the European Commission and the Spanish Government for funding the projects of aDeNu research group that have supported this research work. In particular, MAMIPEC (TIN2011-29221-C03-01), A2UN@ (TIN2008-06862-C04-01/TSI) and EU4ALL (FP6-2005-IST-5). Moreover, they would also like to thank the educators who were involved in the recommendations elicitation process, as well as in the corresponding evaluation.
dc.description.abstractThere is agreement in the literature that affect influences learning. In turn, addressing affective issues in the recommendation process has shown their ability to increase the performance of recommender systems in non-educational scenarios. In our work, we combine both research lines and describe the SAERS approach to model affective educational recommendations. This affective recommendation model has been initially validated with the application of the TORMES methodology to specific educational settings. We report 29 recommendations elicited in 12 scenarios by applying this methodology. Moreover, a UML formalized version of the recommendations model which can describe the recommendations elicited is presented in the paper.en
dc.description.versionaceptado
dc.identifier.citationSantos, O.C., Boticario, J.G., Manjarrés-Riesco, Á. (2014). An Approach for an Affective Educational Recommendation Model. In: Manouselis, N., Drachsler, H., Verbert, K., Santos, O. (eds) Recommender Systems for Technology Enhanced Learning. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0530-0_6
dc.identifier.doihttps://doi.org/10.1007/978-1-4939-0530-0_6
dc.identifier.isbn978-1-4939-0530-0
dc.identifier.urihttps://hdl.handle.net/20.500.14468/30072
dc.language.isoen
dc.page.final143
dc.page.initial123
dc.publisherSpringer
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.relation.ispartofRecommender Systems for Technology Enhanced Learning
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/Programa Nacional de Investigación Fundamental/TIN2011-29221-C03-01/ES/ENFOQUES MULTIMODALES PARA EL MODELADO DE ASPECTOS EMOCIONALES EN ESCENARIOS DE EDUCACION PERSONALIZADOS E INCLUSIVOS EN CONTEXTOS INTELIGENTES
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN/Programa Nacional de Investigación Fundamental/TIN2008-06862-C04-01/ES/A2UN@: ACCESIBILIDAD Y ADAPTACION PARA TOD@S EN LA EDUCACION SUPERIOR
dc.relation.projectidinfo:eu-repo/grantAgreement/European Commission/Sixth Framework Programme (FP6) /EU4ALL (FP6-2005-IST-5)/ES/European unified approach for assisted lifelong learning
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject3304 Tecnología de los ordenadores
dc.titleAn Approach for an Affective Educational Recommendation Modelen
dc.typecapítulo de libroes
dc.typebook parten
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoverydf3339e5-d482-4ea3-85ad-3a554c2ba075
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