dc.creatorSanchez Peralta, Malhena De lourdes
dc.date.accessioned2020-10-18T01:52:18Z
dc.date.accessioned2022-10-20T23:53:50Z
dc.date.available2020-10-18T01:52:18Z
dc.date.available2022-10-20T23:53:50Z
dc.date.created2020-10-18T01:52:18Z
dc.date.issued2018
dc.identifier978-1-7281-0382-2
dc.identifier0000-0000
dc.identifierhttps://ieeexplore.ieee.org/abstract/document/8783616/authors#authors
dc.identifier10.1109/LACLO.2018.00016
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4620474
dc.description.abstractE-learning platforms are widely used by universities, despite the advantages that these educational environments provide, there are problems in obtaining information about teacher's and student's behavior and level of use on these platforms. Consequently, it is necessary to promote tools for monitoring and analyzing the E-learning environment use. This article shows the application of Business Intelligence (BI) and tools for Online Analytical Processing (OLAP) in Elearning environments and presents a case study of an Ecuadorian University on how to apply these technologies in various sources of information together with the database of a Learning Management System (LMS). For this analysis, the Basic Computing courses have been selected which generates a great quantity of information. The study reveals that the majority of students belong to the Faculty of Economic Sciences and they are enrolled a second time. On the other hand, the results indicate that there is more teaching activity in the Moodle LMS platform in full-time teachers. The study also allowed classifying and predicting the approval of students in the subject of Basic Computing based on significant input attributes. © 2018 IEEE.
dc.languagees_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.sourceXIII Latin American Conference on Learning Technologies (LACLO) 2018, proceedings
dc.subjectBusiness intelligence
dc.subjectData mining
dc.subjectData warehouse
dc.subjectE learning
dc.subjectLMS
dc.subjectOLAP
dc.titleBusiness intelligence in e-learning, a case study of an ecuadorian university
dc.typeARTÍCULO DE CONFERENCIA


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