Data mining in education: a literary review

The present research was developed with the aim of determining what the main techniques of data mining applied to education are, in order to show the level of coincidence and to identify what needs meet the use of such technics. Through the use of desk research of reviewing scientific articles, publ...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Morales Carrillo, Jessica Johanna (author)
مؤلفون آخرون: Trujillo Utreras, Viviana Katherine (author), Cevallos Molina, Sulay Katerine (author), Hiraida Monserrate, Santana Cedeño (author)
التنسيق: article
اللغة:spa
منشور في: 2019
الوصول للمادة أونلاين:https://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180
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author Morales Carrillo, Jessica Johanna
author2 Trujillo Utreras, Viviana Katherine
Cevallos Molina, Sulay Katerine
Hiraida Monserrate, Santana Cedeño
author2_role author
author
author
author_facet Morales Carrillo, Jessica Johanna
Trujillo Utreras, Viviana Katherine
Cevallos Molina, Sulay Katerine
Hiraida Monserrate, Santana Cedeño
author_role author
collection Revistas Escuela Superior Politécnica Agropecuaria de Manabí
dc.creator.none.fl_str_mv Morales Carrillo, Jessica Johanna
Trujillo Utreras, Viviana Katherine
Cevallos Molina, Sulay Katerine
Hiraida Monserrate, Santana Cedeño
dc.date.none.fl_str_mv 2019-05-23
dc.format.none.fl_str_mv application/pdf
text/html
application/zip
dc.identifier.none.fl_str_mv https://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180
dc.language.none.fl_str_mv spa
dc.publisher.none.fl_str_mv Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López
dc.relation.none.fl_str_mv https://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180/174
https://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180/676
https://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180/677
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv Revista ESPAMCIENCIA; Vol. 10 Núm. E (2019): REVISTA ESPAMCIENCIA 2019; 14-19
1390-8103
reponame:Revistas Escuela Superior Politécnica Agropecuaria de Manabí
instname:Escuela Superior Politécnica Agropecuaria de Manabí
instacron:ESPAM
dc.title.none.fl_str_mv Data mining in education: a literary review
Minería de datos en educación: una revisión literaria
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artículo revisado por pares
description The present research was developed with the aim of determining what the main techniques of data mining applied to education are, in order to show the level of coincidence and to identify what needs meet the use of such technics. Through the use of desk research of reviewing scientific articles, publications that show greater support for the purposes of the analysis were filtered, classified, and selected, a total of 25 articles published generally in English and Spanish between 2010 and 2018 were compiled. After data compilation a matrix was developed for the application of data mining for the selected articles which contain the characteristics to be evaluated (technics and tools). This allowed to perform a statistical analysis regarding the level of coincidence of the evaluated characteristics to determine which were predominantly used. Analyzing the articles, it was found that most of them are focused on the development of discovery methods that analyze educational data repository in order to understand students, learning environment, and factors that influence academic performance, the research determined that one of the most experienced techniques is the classification and the most used tool WEKA (Waikato Environment for Knowledge Analysis) software.
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publisher.none.fl_str_mv Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López
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spelling Data mining in education: a literary reviewMinería de datos en educación: una revisión literariaMorales Carrillo, Jessica JohannaTrujillo Utreras, Viviana KatherineCevallos Molina, Sulay KaterineHiraida Monserrate, Santana Cedeño The present research was developed with the aim of determining what the main techniques of data mining applied to education are, in order to show the level of coincidence and to identify what needs meet the use of such technics. Through the use of desk research of reviewing scientific articles, publications that show greater support for the purposes of the analysis were filtered, classified, and selected, a total of 25 articles published generally in English and Spanish between 2010 and 2018 were compiled. After data compilation a matrix was developed for the application of data mining for the selected articles which contain the characteristics to be evaluated (technics and tools). This allowed to perform a statistical analysis regarding the level of coincidence of the evaluated characteristics to determine which were predominantly used. Analyzing the articles, it was found that most of them are focused on the development of discovery methods that analyze educational data repository in order to understand students, learning environment, and factors that influence academic performance, the research determined that one of the most experienced techniques is the classification and the most used tool WEKA (Waikato Environment for Knowledge Analysis) software. La presente investigación fue desarrollada con el objetivo de determinar cuáles son las principales técnicas de minería de datos aplicados en la educación, para mostrar el nivel de coincidencias e identificar qué necesidades satisfacen el uso de dichas técnicas. Mediante el uso de investigación documental por revisión de artículos científicos se filtró, clasificó y seleccionó las publicaciones que presentan mayor sustento para el análisis realizado, recopilando un total de 25 artículos, publicados entre el 2010 y 2018, escritos generalmente en inglés y español. Realizada la recolección de información se elaboró una matriz para la aplicación de minería de datos en los artículos seleccionados que contiene las características a evaluar (técnicas y herramientas), esto permitió realizar un análisis estadístico del nivel de coincidencia entre las características evaluadas y determinar cuáles fueron las más utilizadas. En el análisis de los artículos encontrados se observó que la mayoría están orientados al desarrollo de métodos de descubrimiento que analizan los datos de repositorios educacionales para comprender a los estudiantes, el entorno en el que aprenden y los factores que afectan la calidad del rendimiento académico. Con base en la investigación se determina que, una de las técnicas más experimentadas es la clasificación y la herramienta más usada es el software WEKA (Waikato Environment for Knowledge Analysis). Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López2019-05-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículo revisado por paresapplication/pdftext/htmlapplication/ziphttps://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180Revista ESPAMCIENCIA; Vol. 10 Núm. E (2019): REVISTA ESPAMCIENCIA 2019; 14-191390-8103reponame:Revistas Escuela Superior Politécnica Agropecuaria de Manabíinstname:Escuela Superior Politécnica Agropecuaria de Manabíinstacron:ESPAMspahttps://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180/174https://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180/676https://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180/677http://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2024-08-27T18:03:13Zoai:espamciencia.espam.edu.ec:article/180Institucionalhttp://revistasespam.espam.edu.ec/Universidad públicahttp://www.espam.edu.ec/http://revistasespam.espam.edu.ec/oai.Ecuador.1390-81031390-597Xopendoar:02024-08-27T18:03:13Revistas Escuela Superior Politécnica Agropecuaria de Manabí - Escuela Superior Politécnica Agropecuaria de Manabífalse
spellingShingle Data mining in education: a literary review
Morales Carrillo, Jessica Johanna
status_str publishedVersion
title Data mining in education: a literary review
title_full Data mining in education: a literary review
title_fullStr Data mining in education: a literary review
title_full_unstemmed Data mining in education: a literary review
title_short Data mining in education: a literary review
title_sort Data mining in education: a literary review
url https://revistasespam.espam.edu.ec/index.php/Revista_ESPAMCIENCIA/article/view/180