A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distribution

The identification of academic attributes that allow improving student achievement is of fundamental importance in the teaching learning process. In the current study we present a methodology to recognize the attributes of educational success based Pareto distribution and data mining algorithms that...

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Autor principal: Cartuche Flores, C. (author)
Outros Autores: Gomez Alvarado, H. (author), Arias Tapia, S. (author), Malo Martinez, S. (author)
Formato: article
Publicado em: 2017
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Acesso em linha:http://dspace.utpl.edu.ec/handle/123456789/18803
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author Cartuche Flores, C.
author2 Gomez Alvarado, H.
Arias Tapia, S.
Malo Martinez, S.
author2_role author
author
author
author_facet Cartuche Flores, C.
Gomez Alvarado, H.
Arias Tapia, S.
Malo Martinez, S.
author_role author
collection Repositorio Universidad Técnica Particular de Loja
dc.creator.none.fl_str_mv Cartuche Flores, C.
Gomez Alvarado, H.
Arias Tapia, S.
Malo Martinez, S.
dc.date.none.fl_str_mv 10/04/2016
2017-06-16T22:02:24Z
2017-06-16T22:02:24Z
dc.identifier.none.fl_str_mv 10.1109/EDUCON.2016.7474710
21659559
978-146738633-3
10.1109/EDUCON.2016.7474710
http://dspace.utpl.edu.ec/handle/123456789/18803
dc.language.none.fl_str_mv Inglés
dc.publisher.none.fl_str_mv 2016 IEEE Global Engineering Education Conference (EDUCON)
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 Attributes
Metrics
Pareto
dc.title.none.fl_str_mv A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distribution
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The identification of academic attributes that allow improving student achievement is of fundamental importance in the teaching learning process. In the current study we present a methodology to recognize the attributes of educational success based Pareto distribution and data mining algorithms that authorize the identification of which attributes most important to child's educational performance. Our results showed the direct theoretical and numerical relationship between academic indicators and the proper selection of the milestones in the learning. Conclusions and future work will be generated from our working the same as is in the process of development.
eu_rights_str_mv openAccess
format article
id UTPL_909e7f0b9d9c6fa2a85fd773a8f28e2b
identifier_str_mv 10.1109/EDUCON.2016.7474710
21659559
978-146738633-3
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:123456789/18803
publishDate 2017
publisher.none.fl_str_mv 2016 IEEE Global Engineering Education Conference (EDUCON)
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 A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distributionCartuche Flores, C.Gomez Alvarado, H.Arias Tapia, S.Malo Martinez, S.AttributesMetricsParetoThe identification of academic attributes that allow improving student achievement is of fundamental importance in the teaching learning process. In the current study we present a methodology to recognize the attributes of educational success based Pareto distribution and data mining algorithms that authorize the identification of which attributes most important to child's educational performance. Our results showed the direct theoretical and numerical relationship between academic indicators and the proper selection of the milestones in the learning. Conclusions and future work will be generated from our working the same as is in the process of development.2016 IEEE Global Engineering Education Conference (EDUCON)2017-06-16T22:02:24Z2017-06-16T22:02:24Z10/04/2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10.1109/EDUCON.2016.747471021659559978-146738633-310.1109/EDUCON.2016.7474710http://dspace.utpl.edu.ec/handle/123456789/18803Inglésinfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica Particular de Lojainstname:Universidad Técnica Particular de Lojainstacron:UTPL2017-06-16T22:02:24Zoai:dspace.utpl.edu.ec:123456789/18803Institucionalhttps://dspace.utpl.edu.ec/Institución privadahttps://www.utpl.edu.ec/https://dspace.utpl.edu.ec/oai.Ecuador...opendoar:12272017-06-16T22:02:24Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Lojafalse
spellingShingle A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distribution
Cartuche Flores, C.
Attributes
Metrics
Pareto
status_str publishedVersion
title A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distribution
title_full A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distribution
title_fullStr A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distribution
title_full_unstemmed A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distribution
title_short A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distribution
title_sort A methodology for identifying attributes of academic excellence based on a 20/80 Pareto distribution
topic Attributes
Metrics
Pareto
url http://dspace.utpl.edu.ec/handle/123456789/18803