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dc.contributor.authorGarcía Pérez, Óscar
dc.contributor.authorTapia Martínez, Dante I.
dc.contributor.authorAlonso Rincón, Ricardo Serafín 
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-05T11:01:40Z
dc.date.available2017-09-05T11:01:40Z
dc.date.issued2011/04
dc.identifier.citationJournal of Ambient Intelligence and Humanized Computing. Volumen 3 (3), pp. 239-247. Springer Science + Business Media.
dc.identifier.issn1868-5137(Print)/ 1868-5145(Online)
dc.identifier.urihttp://hdl.handle.net/10366/134378
dc.description.abstractThe constant evolution of mobile devices and Information Technologies allows users to enjoy a new variety of features that were unimaginable some years ago. In this sense, Ambient Intelligence (AmI) has emerged as a new discipline focused on people and aimed at facilitating their daily activities. This paper proposes a new definition model that helps designers to characterize collaborative e-learning systems based on AmI and Computer Supported Collaborative Learning. The use of mobile devices and Mobile Adhoc Networks is a key aspect in this model as they allow users to access resources from anywhere on demand. The proposed model is applied to a concrete case of study as an example of its application on real scenarios.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleAmbient intelligence and collaborative e-learning: a new definition model
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported