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dc.contributor.authorNieto Acevedo, Yuri Vanessa
dc.contributor.authorMontenegro Marin, Carlos Enrique
dc.contributor.authorGaona-García, Paulo Alonso
dc.contributor.authorGonzález-Crespo, Rubén
dc.date2018
dc.date.accessioned2020-09-02T11:29:51Z
dc.date.available2020-09-02T11:29:51Z
dc.identifier.isbn9781538629574
dc.identifier.issn2165-9559
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10483
dc.descriptionPonencia de la conferencia "2018 IEEE Global Engineering Education Conference - Emerging Trends and Challenges of Engineering Education, EDUCON 2018; Santa Cruz de Tenerife, Canary Islands; Spain; 17 April 2018 through 20 April 2018"es_ES
dc.description.abstractLearning Analytics has acquire significance on the educational field due to it discovers hidden patterns once the data is processed and integrated in real case of use. Additionally it offers to stakeholder's support to improve their task into educational context. Authors integrated Learning Analytics techniques with a Decision Support System in a proposal to help Educational Institution's administrators in developing decision making process and collaterally improve student performance. In this paper, authors define a Decision Support System and describe its usage in a Educational Institution. The functionalities of Learning Analytics are presented and the integration to help departments administrators to improve decision impact.es_ES
dc.language.isoenges_ES
dc.publisherIEEE Global Engineering Education Conference, EDUCONes_ES
dc.relation.ispartofseries;vol. 2018
dc.relation.urihttps://ieeexplore.ieee.org/document/8363223es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectData Mining (DM)es_ES
dc.subjectDecision Support System (DSS)es_ES
dc.subjectLearning Analytics (LA)es_ES
dc.subjectScopus(2)es_ES
dc.titleA proposal to a decision support system with learning analyticses_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1109/EDUCON.2018.8363223


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