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dc.contributor.authorTorres Carrion, P.es_ES
dc.contributor.authorTorres Diaz, J.es_ES
dc.contributor.authorInfante, A.es_ES
dc.date.accessioned2017-06-16T22:02:52Z-
dc.date.available2017-06-16T22:02:52Z-
dc.date.submitted01/01/2015es_ES
dc.identifierhttp://dx.doi.org/10.7238/rusc.v12i1.1944es_ES
dc.identifier.isbn1698580Xes_ES
dc.identifier.otherhttp://dx.doi.org/10.7238/rusc.v12i1.1944es_ES
dc.identifier.urihttp://dspace.utpl.edu.ec/handle/123456789/19059-
dc.description.abstractFrom a technical perspective, the future of learning is defined by four axes around which technological and methodological efforts revolve. These axes are mobility, interaction, artificial intelligence and technologybased resources such as augmented reality and games applied to learning. Combining them means creating a model of mobile, interactive and intelligent scenarios that take advantage of the spaces and times available to the learner. The various technologies are already available yet used separately in different educational experiences. It is therefore crucial to combine and integrate them into didactic models wherein the learning attained by students is significant. This article discusses these technologies and proposes an integrative model that enables a framework of reference for didactic work to be established. It concludes by highlighting the need to experiment with technologies and to apply the results to teaching-learning models using alternative interaction schema, and the urgency of having intelligent tutoring systems to make tutoring available on a massive scale.es_ES
dc.languageIngléses_ES
dc.subjectartificial intelligencees_ES
dc.subjectlearning modelses_ES
dc.subjectmobile learninges_ES
dc.subjectsocial networkses_ES
dc.subjecttechnologyes_ES
dc.titleMobile learning: Perspectives [Aprendizaje móvil: Perspectivas]es_ES
dc.typeArticlees_ES
dc.publisherRUSC Universities and Knowledge Society Journales_ES
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