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dc.contributor.authorTabuenca, Bernardo
dc.contributor.authorSerrano Iglesias, Sergio 
dc.contributor.authorCarruana Martín, Adrián
dc.contributor.authorVilla Torrano, Cristina
dc.contributor.authorDimitriadis Damoulis, Ioannis 
dc.contributor.authorAsensio Pérez, Juan Ignacio 
dc.contributor.authorAlario Hoyos, Carlos
dc.contributor.authorGómez Sánchez, Eduardo 
dc.contributor.authorBote Lorenzo, Miguel Luis 
dc.contributor.authorMartínez Monés, Alejandra 
dc.contributor.authorDelgado Kloos, Carlos
dc.date.accessioned2021-10-19T11:29:40Z
dc.date.available2021-10-19T11:29:40Z
dc.date.issued2021
dc.identifier.citationIEEE Transactions on Learning Technologies, 2021, vol. 14, n. 2. p. 129 - 145es
dc.identifier.issn1939-1382es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/49170
dc.descriptionProducción Científicaes
dc.description.abstractSmart learning environments (SLEs) have gained considerable momentum in the last 20 years. The term SLE has emerged to encompass a set of recent trends in the field of educational technology, heavily influenced by the growing impact of technologies, such as cloud services, mobile devices, and interconnected objects. However, the term SLE has been used inconsistently by the technology-enhanced learning (TEL) community since different research works employ the adjective “smart” to refer to different aspects of novel learning environments. Previous surveys on SLEs are narrowly focused on specific technologies or remain at a theoretical level that does not discuss practical implications found in empirical studies. To address this inconsistency and also to contribute to a common understanding of the SLE concept, this article presents a systematic literature review of papers published between 2000 and 2019 discussing SLEs in empirical studies. Sixty-eight papers out of an initial list of 1341 papers were analyzed to identify the following: 1) what affordances make a learning environment smart; 2) which technologies are used in SLEs; and 3) in what pedagogical contexts are SLEs used. Considering the limitations of previous surveys, and the inconsistent use of the SLE concept in the TEL community, this article presents a comprehensive characterization to describe SLEs through their affordances, the technologies used, and pedagogical approaches considered in the selected papers. As a result, specific core functions of SLEs are identified and explained. This work aims at ensuring a relevant knowledge base and reference toward the implementation of future SLEs.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherIEEE Xplorees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationSmart learninges
dc.subject.classificationAprendizaje inteligentees
dc.subject.classificationTechnology-enhanced learninges
dc.subject.classificationAprendizaje potenciado por la tecnologíaes
dc.titleAffordances and core functions of smart learning environments: A systematic literature reviewes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2021 IEEE Xplorees
dc.identifier.doi10.1109/TLT.2021.3067946es
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9384279es
dc.peerreviewedSIes
dc.description.projectFondo Europeo de Desarrollo Regional - Agencia Nacional de Investigación (grants TIN2017-85179-C3-1-R and TIN2017-85179-C3-2-R)es
dc.description.projectGobierno de la Comunidad de Madrid - Fondo Social Europeo - Fondo Europeo de Desarrollo Regional (grant S2018/TCS-4307)es
dc.description.projectJunta de Castilla y León (grant VA257P18)es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones


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