Academic performance profiles: An intelligent predictive model based on data mining

It is well known that academic achievement is one of the key aspects in the development of educational activities and it strongly determines the chances of success during and after a university career. It is therefore important to try and effectively monitor students’ performance in order to prev...

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Autores principales: La Red Martínez, David Luis, Giovannini, Mirtha, Karanik, Marcelo
Formato: Artículo publishedVersion
Lenguaje:Inglés
Inglés
Publicado: 2020
Materias:
academic achievement
student profiles
data mining
machine learning
Acceso en línea:http://hdl.handle.net/20.500.12272/4439
Aporte de:
RIA - Repositorio Institucional Abierto (UTN) de Universidad Tecnológica Nacional
id I68-R174-20.500.12272-4439
record_format dspace
institution Universidad Tecnológica Nacional
institution_str I-68
repository_str R-174
collection RIA - Repositorio Institucional Abierto (UTN)
language Inglés
Inglés
topic academic achievement
student profiles
data mining
machine learning
spellingShingle academic achievement
student profiles
data mining
machine learning
La Red Martínez, David Luis
Giovannini, Mirtha
Karanik, Marcelo
Academic performance profiles: An intelligent predictive model based on data mining
topic_facet academic achievement
student profiles
data mining
machine learning
description It is well known that academic achievement is one of the key aspects in the development of educational activities and it strongly determines the chances of success during and after a university career. It is therefore important to try and effectively monitor students’ performance in order to prevent problems from emerging, as well as, to be able to provide academic coaching when the performance is not adequate. The aforementioned problem-anticipation possibility is closely related to the ability to predict the most probable situation based on concrete information. In an academic achievement framework, it is desirable to be able to predict students’ performance considering concrete individual parameters. This work outlines the results obtained by an academicachievement prediction model based on data mining algorithms which uses socioeconomic information as well as, students’ grades. The tests were carried out at National Technological University, Resistencia Regional Faculty (UTN-FRRe), during the AED-Algoritmos y Estructuras de Datos (Algorithms and Data Structures) class throughout the 2013, 2014, 2015 and 2016 terms. The results obtained confirmed adequate behaviour of the model which has been validated for both description and prediction of academic achievement profiles.
format Artículo
publishedVersion
author La Red Martínez, David Luis
Giovannini, Mirtha
Karanik, Marcelo
author_facet La Red Martínez, David Luis
Giovannini, Mirtha
Karanik, Marcelo
author_sort La Red Martínez, David Luis
title Academic performance profiles: An intelligent predictive model based on data mining
title_short Academic performance profiles: An intelligent predictive model based on data mining
title_full Academic performance profiles: An intelligent predictive model based on data mining
title_fullStr Academic performance profiles: An intelligent predictive model based on data mining
title_full_unstemmed Academic performance profiles: An intelligent predictive model based on data mining
title_sort academic performance profiles: an intelligent predictive model based on data mining
publishDate 2020
url http://hdl.handle.net/20.500.12272/4439
work_keys_str_mv AT laredmartinezdavidluis academicperformanceprofilesanintelligentpredictivemodelbasedondatamining
AT giovanninimirtha academicperformanceprofilesanintelligentpredictivemodelbasedondatamining
AT karanikmarcelo academicperformanceprofilesanintelligentpredictivemodelbasedondatamining
bdutipo_str Repositorios
_version_ 1764820551820378113

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