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dc.contributor.authorPinto Santos, Francisco 
dc.contributor.authorSánchez San Blas, Hector 
dc.contributor.authorSalgado de la Iglesia, Manuel
dc.contributor.authorMao, Xuzeng
dc.date.accessioned2020-03-10T08:25:39Z
dc.date.available2020-03-10T08:25:39Z
dc.date.issued2018-12-15
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7 (2018)
dc.identifier.issn2255-2863
dc.identifier.urihttp://hdl.handle.net/10366/141443
dc.description.abstractE-Learning is a new learning approach that involves the use of electronic technologies to access education outside of a conventional classroom (Alonso Rincon,). The objective of E-Learning systems is to increase the students’ learning skills by providing a customized experience to each system user (Rodrigues, 2013). However, to accomplish this, it is necessary to monitor the continuous changes in the environment, mainly the students’ knowledge and skill acquisition. A multi-agent system architecture and a clustering algorithm are proposed for this purpose (as presented in (Rodrigues, 2014) This paper is an extension to the work of (Al-Tarabily, 2018) because it not only monitors changes in the student environment but also in the project environment, increasing the system’s adaptability and accuracy.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherEdiciones Universidad de Salamanca (España)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectComputación
dc.subjectInformótica
dc.subjectComputing
dc.subjectInformation Technology
dc.titleImproving the adaptability of multi-agent based E-learning systems
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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