Please use this identifier to cite or link to this item: http://dspace.utpl.edu.ec/handle/123456789/18892
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dc.contributor.authorGuaman Coronel, D.es_ES
dc.contributor.authorAguilar Castro, J.es_ES
dc.contributor.authorEncalada Encalada, A.es_ES
dc.contributor.authorRiofrio Calderon, G.es_ES
dc.date.accessioned2017-06-16T22:02:33Z-
dc.date.available2015-07-12es_ES
dc.date.available2017-06-16T22:02:33Z-
dc.date.submitted19/10/2015es_ES
dc.identifier10.1109/CLEI.2015.7360045es_ES
dc.identifier.issn978-1-4673-9143-6es_ES
dc.identifier.other10.1109/CLEI.2015.7360045es_ES
dc.identifier.urihttp://dspace.utpl.edu.ec/handle/123456789/18892-
dc.description.abstractAbstract .- This work aims to evaluate the use of Learning Analitycs (LA) in Higher Education; students, and attributes such as: profile, interactions in a virtual learning environment learning - for this use business intelligence paradigm in order to explore and exploit the data from one of the actors in the educational process is analyzed , test scores, among others, which will contribute to their educational success. In particular, this paper tries to answer the following specific objectives: To identify factors that influence the decision of a college student distance learning to abandon their studies and get the profile of potentially susceptible students from their university studies. To meet this purpose we define two analysis tasks learning and use a business intelligence methodology to implement it.es_ES
dc.languageIngléses_ES
dc.subjectusiness Intelligencees_ES
dc.subjectLearning Analyticses_ES
dc.subjectOnline Learninges_ES
dc.subjectData Mininges_ES
dc.titleBusiness intelligence applied to learning analytics in student-centered learning processeses_ES
dc.typeArticlees_ES
dc.publisherProceedings - 2015 41st Latin American Computing Conference, CLEI 2015es_ES
Appears in Collections:Artículos de revistas Científicas

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