Academic Performance Profiles: A Descriptive Model Based on Data Mining

Academic performance is a critical factor considering that poor academic performance is often associated with a high attrition rate. This has been observed in subjects of the first level of Information Systems Engineering career (ISI) of the National Technological University, Resistencia Regional Fa...

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Detalles Bibliográficos
Autores principales: La Red Martínez, David Luis, Karanik, Marcelo, Giovaninni, Mirta Eve, Pinto, Noelia
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2016
Materias:
academic performance profiles
data warehouses
data mining
knowledge discovery in databases
Acceso en línea:http://hdl.handle.net/20.500.12272/1028
Aporte de:
RIA - Repositorio Institucional Abierto (UTN) de Universidad Tecnológica Nacional
id I68-R174-20.500.12272-1028
record_format dspace
institution Universidad Tecnológica Nacional
institution_str I-68
repository_str R-174
collection RIA - Repositorio Institucional Abierto (UTN)
language Inglés
topic academic performance profiles
data warehouses
data mining
knowledge discovery in databases
spellingShingle academic performance profiles
data warehouses
data mining
knowledge discovery in databases
La Red Martínez, David Luis
Karanik, Marcelo
Giovaninni, Mirta Eve
Pinto, Noelia
Academic Performance Profiles: A Descriptive Model Based on Data Mining
topic_facet academic performance profiles
data warehouses
data mining
knowledge discovery in databases
description Academic performance is a critical factor considering that poor academic performance is often associated with a high attrition rate. This has been observed in subjects of the first level of Information Systems Engineering career (ISI) of the National Technological University, Resistencia Regional Faculty (UTN-FRRe), situated in Resistencia city, province of Chaco, Argentine. Among them is Algorithms and Data Structures, where the poor academic performance is observed at very high rates (between 60% and about 80% in recent years). In this paper, we propose the use of data mining techniques on performance information for students of the subject mentioned, in order to characterize the profiles of successful students (good academic performance) and those that are not (poor performance). In the future, the determination of these profiles would allow us to define specific actions to reverse poor academic performance, once detected the variables associated with it. This article describes the data models and data mining used and the main results are also commented
format Artículo
publishedVersion
Artículo
author La Red Martínez, David Luis
Karanik, Marcelo
Giovaninni, Mirta Eve
Pinto, Noelia
author_facet La Red Martínez, David Luis
Karanik, Marcelo
Giovaninni, Mirta Eve
Pinto, Noelia
author_sort La Red Martínez, David Luis
title Academic Performance Profiles: A Descriptive Model Based on Data Mining
title_short Academic Performance Profiles: A Descriptive Model Based on Data Mining
title_full Academic Performance Profiles: A Descriptive Model Based on Data Mining
title_fullStr Academic Performance Profiles: A Descriptive Model Based on Data Mining
title_full_unstemmed Academic Performance Profiles: A Descriptive Model Based on Data Mining
title_sort academic performance profiles: a descriptive model based on data mining
publishDate 2016
url http://hdl.handle.net/20.500.12272/1028
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AT karanikmarcelo academicperformanceprofilesadescriptivemodelbasedondatamining
AT giovaninnimirtaeve academicperformanceprofilesadescriptivemodelbasedondatamining
AT pintonoelia academicperformanceprofilesadescriptivemodelbasedondatamining
bdutipo_str Repositorios
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