Brief Review of Educational Applications Using Data Mining and Machine Learning

The large amounts of data used nowadays have motivated research and development in different disciplines in order to extract useful information with a view to analyzing it to solve difficult problems. Data mining and machine learning are two computing disciplines that enable analysis of huge data se...

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Κύριοι συγγραφείς:	Urbina Nájera, Argelia Berenice, de la Calleja Mora, Jorge
Μορφή:	info:eu-repo/semantics/article
Γλώσσα:	eng
Έκδοση:	REDIE es una publicación del Instituto de Investigación y Desarrollo Educativo (IIDE). 2017
Θέματα:	Education Data mining Machine learning
Διαθέσιμο Online:	https://redie.uabc.mx/index.php/redie/article/view/1305
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id	repositorioinstitucional-20.500.12930-6257
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spelling	repositorioinstitucional-20.500.12930-62572023-05-09T15:05:00Z Brief Review of Educational Applications Using Data Mining and Machine Learning Breve revisión de aplicaciones educativas utilizando Minería de Datos y Aprendizaje Automático Urbina Nájera, Argelia Berenice de la Calleja Mora, Jorge Education Data mining Machine learning The large amounts of data used nowadays have motivated research and development in different disciplines in order to extract useful information with a view to analyzing it to solve difficult problems. Data mining and machine learning are two computing disciplines that enable analysis of huge data sets in an automated manner. In this paper, we give an overview of several applications using these disciplines in education, particularly those that use some of the most successful methods in the machine learning community, such as artificial neural networks, decision trees, Bayesian learning and instance-based methods. Although these two areas of artificial intelligence have been applied in many real-world problems in different fields, such as astronomy, medicine, and robotics, their application in education is relatively new. The search was performed mainly on databases such as EBSCO, Elsevier, Google Scholar, IEEEXplore and ACM. We hope to provide a useful resource for the education community by presenting this review of approaches. La gran cantidad de datos utilizados en la actualidad han motivado la investigación y el desarrollo en diferentes disciplinas buscando extraer información útil con el fin de analizarla para resolver problemas difíciles. La Minería de datos y el Aprendizaje automático son dos disciplinas informáticas que permiten analizar enormes conjuntos de datos de forma automática. En este documento proporcionamos un panorama de varias aplicaciones que utilizan estas disciplinas en la Educación, particularmente aquellas que utilizan algunos de los métodos más exitosos en la comunidad de aprendizaje automático, como redes neuronales artificiales, árboles de decisión, aprendizaje bayesiano y métodos basados en instancias. Aunque estas dos áreas de la inteligencia artificial se han aplicado en muchos problemas del mundo real en diferentes campos, como la Astronomía, la Medicina y la Robótica, su aplicación en la Educación es relativamente nueva. La búsqueda se realizó principalmente en bases de datos como EBSCO, Elsevier, Google Scholar, IEEEXplore y ACM. Esperamos proporcionar un recurso útil para la comunidad educativa con esta revisión de enfoques. 2017-10-25 2021-06-03T03:08:28Z 2021-06-03T03:08:28Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://redie.uabc.mx/index.php/redie/article/view/1305 10.24320/redie.2017.19.4.1305 https://hdl.handle.net/20.500.12930/6257 eng https://redie.uabc.mx/index.php/redie/article/view/1305/1579 https://redie.uabc.mx/index.php/redie/article/view/1305/1586 https://redie.uabc.mx/index.php/redie/article/view/1305/1949 Derechos de autor 2019 Revista Electrónica de Investigación Educativa text/html application/pdf application/xml REDIE es una publicación del Instituto de Investigación y Desarrollo Educativo (IIDE). Revista Electrónica de Investigación Educativa; Vol. 19 No. 4 (2017); 84 - 96 Revista Electrónica de Investigación Educativa; Vol. 19 Núm. 4 (2017); 84 - 96 1607-4041
institution	Repositorio Institucional
collection	DSpace
language	eng
topic	Education Data mining Machine learning
spellingShingle	Education Data mining Machine learning Urbina Nájera, Argelia Berenice de la Calleja Mora, Jorge Brief Review of Educational Applications Using Data Mining and Machine Learning
description	The large amounts of data used nowadays have motivated research and development in different disciplines in order to extract useful information with a view to analyzing it to solve difficult problems. Data mining and machine learning are two computing disciplines that enable analysis of huge data sets in an automated manner. In this paper, we give an overview of several applications using these disciplines in education, particularly those that use some of the most successful methods in the machine learning community, such as artificial neural networks, decision trees, Bayesian learning and instance-based methods. Although these two areas of artificial intelligence have been applied in many real-world problems in different fields, such as astronomy, medicine, and robotics, their application in education is relatively new. The search was performed mainly on databases such as EBSCO, Elsevier, Google Scholar, IEEEXplore and ACM. We hope to provide a useful resource for the education community by presenting this review of approaches.
format	info:eu-repo/semantics/article
author	Urbina Nájera, Argelia Berenice de la Calleja Mora, Jorge
author_facet	Urbina Nájera, Argelia Berenice de la Calleja Mora, Jorge
author_sort	Urbina Nájera, Argelia Berenice
title	Brief Review of Educational Applications Using Data Mining and Machine Learning
title_short	Brief Review of Educational Applications Using Data Mining and Machine Learning
title_full	Brief Review of Educational Applications Using Data Mining and Machine Learning
title_fullStr	Brief Review of Educational Applications Using Data Mining and Machine Learning
title_full_unstemmed	Brief Review of Educational Applications Using Data Mining and Machine Learning
title_sort	brief review of educational applications using data mining and machine learning
publisher	REDIE es una publicación del Instituto de Investigación y Desarrollo Educativo (IIDE).
publishDate	2017
url	https://redie.uabc.mx/index.php/redie/article/view/1305
_version_	1792609448998469632

Brief Review of Educational Applications Using Data Mining and Machine Learning

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