Business intelligence applied to learning analytics in student-centered learning processes

Abstract .- 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 act...

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Hovedforfatter: Guaman Coronel, D. (author)
Andre forfattere: Aguilar Castro, J. (author), Encalada Encalada, A. (author), Riofrio Calderon, G. (author)
Format: article
Udgivet: 2015
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Online adgang:http://dspace.utpl.edu.ec/handle/123456789/18892
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author Guaman Coronel, D.
author2 Aguilar Castro, J.
Encalada Encalada, A.
Riofrio Calderon, G.
author2_role author
author
author
author_facet Guaman Coronel, D.
Aguilar Castro, J.
Encalada Encalada, A.
Riofrio Calderon, G.
author_role author
collection Repositorio Universidad Técnica Particular de Loja
dc.creator.none.fl_str_mv Guaman Coronel, D.
Aguilar Castro, J.
Encalada Encalada, A.
Riofrio Calderon, G.
dc.date.none.fl_str_mv 19/10/2015
2015-07-12
2017-06-16T22:02:33Z
2017-06-16T22:02:33Z
dc.identifier.none.fl_str_mv 10.1109/CLEI.2015.7360045
978-1-4673-9143-6
10.1109/CLEI.2015.7360045
http://dspace.utpl.edu.ec/handle/123456789/18892
dc.language.none.fl_str_mv Inglés
dc.publisher.none.fl_str_mv Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Técnica Particular de Loja
instname:Universidad Técnica Particular de Loja
instacron:UTPL
dc.subject.none.fl_str_mv usiness Intelligence
Learning Analytics
Online Learning
Data Mining
dc.title.none.fl_str_mv Business intelligence applied to learning analytics in student-centered learning processes
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Abstract .- 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.
eu_rights_str_mv openAccess
format article
id UTPL_4e315e09aafd22cf808d0699ef6d2323
identifier_str_mv 10.1109/CLEI.2015.7360045
978-1-4673-9143-6
instacron_str UTPL
institution UTPL
instname_str Universidad Técnica Particular de Loja
language_invalid_str_mv Inglés
network_acronym_str UTPL
network_name_str Repositorio Universidad Técnica Particular de Loja
oai_identifier_str oai:dspace.utpl.edu.ec:123456789/18892
publishDate 2015
publisher.none.fl_str_mv Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015
reponame_str Repositorio Universidad Técnica Particular de Loja
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Loja
repository_id_str 1227
spelling Business intelligence applied to learning analytics in student-centered learning processesGuaman Coronel, D.Aguilar Castro, J.Encalada Encalada, A.Riofrio Calderon, G.usiness IntelligenceLearning AnalyticsOnline LearningData MiningAbstract .- 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.Proceedings - 2015 41st Latin American Computing Conference, CLEI 20152017-06-16T22:02:33Z2015-07-122017-06-16T22:02:33Z19/10/2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10.1109/CLEI.2015.7360045978-1-4673-9143-610.1109/CLEI.2015.7360045http://dspace.utpl.edu.ec/handle/123456789/18892Inglésinfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica Particular de Lojainstname:Universidad Técnica Particular de Lojainstacron:UTPL2017-06-16T22:02:33Zoai:dspace.utpl.edu.ec:123456789/18892Institucionalhttps://dspace.utpl.edu.ec/Institución privadahttps://www.utpl.edu.ec/https://dspace.utpl.edu.ec/oai.Ecuador...opendoar:12272017-06-16T22:02:33Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Lojafalse
spellingShingle Business intelligence applied to learning analytics in student-centered learning processes
Guaman Coronel, D.
usiness Intelligence
Learning Analytics
Online Learning
Data Mining
status_str publishedVersion
title Business intelligence applied to learning analytics in student-centered learning processes
title_full Business intelligence applied to learning analytics in student-centered learning processes
title_fullStr Business intelligence applied to learning analytics in student-centered learning processes
title_full_unstemmed Business intelligence applied to learning analytics in student-centered learning processes
title_short Business intelligence applied to learning analytics in student-centered learning processes
title_sort Business intelligence applied to learning analytics in student-centered learning processes
topic usiness Intelligence
Learning Analytics
Online Learning
Data Mining
url http://dspace.utpl.edu.ec/handle/123456789/18892