Business intelligence in e-learning, a case study of an ecuadorian university

dc.contributor.authorSanchez Peralta, Malhena De lourdes
dc.date.accessioned2020-10-18T01:52:18Z
dc.date.available2020-10-18T01:52:18Z
dc.date.issued2018
dc.descriptionE-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.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.description.citySao Paulo
dc.identifier.doi10.1109/LACLO.2018.00016
dc.identifier.isbn978-1-7281-0382-2
dc.identifier.issn0000-0000
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/8783616/authors#authors
dc.language.isoes_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
dc.ucuenca.afiliacionSanchez, M., Universidad de Cuenca, Cuenca, Ecuador
dc.ucuenca.areaconocimientofrascatiamplio2. Ingeniería y Tecnología
dc.ucuenca.areaconocimientofrascatidetallado2.2.4 Ingeniería de La Comunicación y de Sistemas
dc.ucuenca.areaconocimientofrascatiespecifico2.2 Ingenierias Eléctrica, Electrónica e Información
dc.ucuenca.areaconocimientounescoamplio06 - Información y Comunicación (TIC)
dc.ucuenca.areaconocimientounescodetallado0613 - Software y Desarrollo y Análisis de Aplicativos
dc.ucuenca.areaconocimientounescoespecifico061 - Información y Comunicación (TIC)
dc.ucuenca.comiteorganizadorconferenciaLatin American Computing Conference (44th : 2018 : São Paulo, Brazil)
dc.ucuenca.conferenciaXIII Latin American Conference on Learning Technologies (LACLO) 2018
dc.ucuenca.embargoend2050-12-31
dc.ucuenca.embargointerno2050-12-31
dc.ucuenca.fechafinconferencia2018-10-05
dc.ucuenca.fechainicioconferencia2018-10-01
dc.ucuenca.idautor0102565132
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.numerocitaciones0
dc.ucuenca.organizadorconferenciaUniversidade Presbiteriana Mackenzie, host institution. IEEE Computer Society, issuing body.
dc.ucuenca.paisBRASIL
dc.ucuenca.urifuentehttps://ieeexplore.ieee.org/xpl/conhome/8777068/proceeding
dc.ucuenca.versionVersión publicada
dc.ucuenca.volumen2018 volumen. 1

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