SmartLET: learning analytics to enhance the design and orchestration in scalable, IoT-enriched, and ubiquitous Smart Learning Environments

e-Archivo Repository

Show simple item record

dc.contributor.author Delgado Kloos, Carlos
dc.contributor.author Dimitriadis, Yannis
dc.contributor.author Hernández-Leo, Davinia
dc.contributor.author Muñoz Merino, Pedro José
dc.contributor.author Bote-Lorenzo, Miguel Luis
dc.contributor.author Carrió, Mar
dc.contributor.author Alario-Hoyos, Carlos
dc.contributor.author Gómez-Sánchez, Eduardo
dc.contributor.author Santos Rodríguez, Patricia
dc.date.accessioned 2021-05-21T09:46:53Z
dc.date.available 2021-05-21T09:46:53Z
dc.date.issued 2018-10
dc.identifier.bibliographicCitation TEEM'18: Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality. ACM, 2018, Pp. 648-653
dc.identifier.isbn 978-1-4503-6518-5
dc.identifier.uri http://hdl.handle.net/10016/32711
dc.description Proceeding of: 6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2018), Salamanca, Spain, 24-26 October 2018
dc.description.abstract This paper presents the SmartLET project, a coordinated research project funded by the Spanish Ministry of Science, Innovation and Universities, which just started in 2018. The main aim of this project is to provide support for the design and orchestration of Smart Learning Environments (SLEs) with the support of learning analytics and the Internet of Things. This paper gives an overview of our conception of SLEs based on previous works, provides some ideas about the connection of learning design and orchestration with SLEs, and analyses different ethical and privacy issues for SLEs. In addition, an initial hypothesis and some specific objectives for a support environment for SLEs are proposed.
dc.format.extent 6
dc.language.iso eng
dc.publisher Association For Computing Machinery (ACM)
dc.rights © 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM
dc.subject.other Learning analytics
dc.subject.other Internet of things
dc.subject.other Smart learning
dc.subject.other Learning design
dc.subject.other Orchestration
dc.title SmartLET: learning analytics to enhance the design and orchestration in scalable, IoT-enriched, and ubiquitous Smart Learning Environments
dc.type conferenceObject
dc.type bookPart
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1145/3284179.3284291
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2017-85179-C3-1-R
dc.relation.projectID Gobierno de España. TIN2017-85179-C3-2-R
dc.relation.projectID Gobierno de España. TIN2017-85179-C3-3-R
dc.relation.projectID Comunidad de Madrid. S2013/ICE-2715
dc.type.version acceptedVersion
dc.relation.eventdate 2018-10-24
dc.relation.eventplace SALAMANCA
dc.relation.eventtitle 6th International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2018)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 648
dc.identifier.publicationlastpage 653
dc.identifier.publicationtitle TEEM'18: Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality
dc.identifier.uxxi CC/0000029469
dc.affiliation.dpto UC3M. Departamento de Ingeniería Telemática
dc.affiliation.grupoinv UC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)
 Find Full text

Files in this item

*Click on file's image for preview. (Embargoed files's preview is not supported)


This item appears in the following Collection(s)

Show simple item record