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oai:gredos.usal.es:10366/1348302025-04-30T20:37:52Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811

Prieta Pintado, Fernando de la Bajo Pérez, Javier Rodríguez Marín, Paula Duque Méndez, Nestor D. 2017-09-06T09:14:00Z 2017-09-06T09:14:00Z 2013 Advances in Intelligent Systems and Computing Management Intelligent Systems. Advances in Intelligent Systems and Computing. Volumen 220, pp. 99-106. 978-3-319-00568-3 (Print) / 978-3-319-00569-0 (Online) 2194-5357 (Print) / 2194-5365 (Online) http://hdl.handle.net/10366/134830 This work presents a proposal for an architecture based on a cloud computing paradigm that will permit the evolution of current learning resource repositories. This study presents current problems (heterogeneity, interoperability and low performance) of existing repositories, as well as how the proposed model will try to solve them. application/pdf en Springer Science + Business Media Computer Science A New Generation of Learning Object Repositories Based on Cloud Computing info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/openAccess