Modelo de dominio específico para análisis y minería de datos educativos

graficas, tablas

Autores:
Hernández Leal, Emilcy Juliana
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2024
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/85851
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/85851
https://repositorio.unal.edu.co/
Palabra clave:
000 - Ciencias de la computación, información y obras generales::003 - Sistemas
Análisis de datos
Datos educativos
Dominio específico
Educación básica y media
Minería de datos
Data analysis
Educational data
Specific domain
Basic and secondary education
Data mining
Análisis de inspección
Survey analysis
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_66826b10b2afdb4ba52c6a2f8fd17d95
oai_identifier_str oai:repositorio.unal.edu.co:unal/85851
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Modelo de dominio específico para análisis y minería de datos educativos
dc.title.translated.eng.fl_str_mv Specific domain model for educational data mining and analysis
title Modelo de dominio específico para análisis y minería de datos educativos
spellingShingle Modelo de dominio específico para análisis y minería de datos educativos
000 - Ciencias de la computación, información y obras generales::003 - Sistemas
Análisis de datos
Datos educativos
Dominio específico
Educación básica y media
Minería de datos
Data analysis
Educational data
Specific domain
Basic and secondary education
Data mining
Análisis de inspección
Survey analysis
title_short Modelo de dominio específico para análisis y minería de datos educativos
title_full Modelo de dominio específico para análisis y minería de datos educativos
title_fullStr Modelo de dominio específico para análisis y minería de datos educativos
title_full_unstemmed Modelo de dominio específico para análisis y minería de datos educativos
title_sort Modelo de dominio específico para análisis y minería de datos educativos
dc.creator.fl_str_mv Hernández Leal, Emilcy Juliana
dc.contributor.advisor.none.fl_str_mv Duque Méndez, Néstor Darío
dc.contributor.author.none.fl_str_mv Hernández Leal, Emilcy Juliana
dc.contributor.researchgroup.spa.fl_str_mv Gaia Grupo de Ambientes Inteligentes Adaptativos
dc.contributor.orcid.spa.fl_str_mv Hernández Leal, Emilcy Juliana [0000-0002-5865-9604]
dc.contributor.cvlac.spa.fl_str_mv Hernández Leal, Emilcy Juliana [0001402728]
dc.contributor.googlescholar.spa.fl_str_mv Hernández Leal, Emilcy Juliana [Emilcy Juliana Hernández-Leal]
dc.subject.ddc.spa.fl_str_mv 000 - Ciencias de la computación, información y obras generales::003 - Sistemas
topic 000 - Ciencias de la computación, información y obras generales::003 - Sistemas
Análisis de datos
Datos educativos
Dominio específico
Educación básica y media
Minería de datos
Data analysis
Educational data
Specific domain
Basic and secondary education
Data mining
Análisis de inspección
Survey analysis
dc.subject.proposal.spa.fl_str_mv Análisis de datos
Datos educativos
Dominio específico
Educación básica y media
Minería de datos
dc.subject.proposal.eng.fl_str_mv Data analysis
Educational data
Specific domain
Basic and secondary education
Data mining
dc.subject.unesco.spa.fl_str_mv Análisis de inspección
dc.subject.unesco.eng.fl_str_mv Survey analysis
description graficas, tablas
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-04-02T18:57:49Z
dc.date.available.none.fl_str_mv 2024-04-02T18:57:49Z
dc.date.issued.none.fl_str_mv 2024
dc.type.spa.fl_str_mv Trabajo de grado - Doctorado
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/doctoralThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_db06
dc.type.content.spa.fl_str_mv Text
format http://purl.org/coar/resource_type/c_db06
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/85851
dc.identifier.instname.spa.fl_str_mv Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv https://repositorio.unal.edu.co/
url https://repositorio.unal.edu.co/handle/unal/85851
https://repositorio.unal.edu.co/
identifier_str_mv Universidad Nacional de Colombia
Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv spa
language spa
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spelling Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Duque Méndez, Néstor Darío4ff01dafa0154c79f67190343ead16e7600Hernández Leal, Emilcy Juliana958d544aa3ea592164d0b354d46250b2600Gaia Grupo de Ambientes Inteligentes AdaptativosHernández Leal, Emilcy Juliana [0000-0002-5865-9604]Hernández Leal, Emilcy Juliana [0001402728]Hernández Leal, Emilcy Juliana [Emilcy Juliana Hernández-Leal]2024-04-02T18:57:49Z2024-04-02T18:57:49Z2024https://repositorio.unal.edu.co/handle/unal/85851Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/graficas, tablasEl uso de técnicas de análisis de datos para el apoyo de procesos educativos, al igual que en otros dominios de datos, busca potencializar la toma de decisiones y la planeación de estos. Las tecnologías de información y comunicación contribuyen a dichos procesos de análisis. En particular, desde la minería de datos se tiene una opción para dar atención a las necesidades presentes en cuanto a gestión de datos académicos, datos que se producen desde el proceso de enseñanza-aprendizaje como tal, así como también desde procesos de carácter administrativo que están asociados. Dependiendo del nivel educativo, para el caso de Colombia estos niveles se distribuyen en educación pre-escolar, básica, media y superior, los sistemas de información donde son almacenados los datos educativos varían, influyendo también el carácter de la institución (pública o privada). Para el caso de la educación superior, estos sistemas de información o fuentes de datos suelen estar bastante estructurados, facilitando el acceso a los datos y por tanto la extracción de información y conocimiento. No obstante, a nivel de educación básica y media, las fuentes de datos resultan más difíciles de acceder y el tratamiento que requieren los datos antes de ser analizados puede ser considerable. En este sentido, esta tesis doctoral propone un modelo conceptual con enfoque de dominio específico para minería de datos educativos, que ofrece mecanismos de solución a los problemas particulares de cada etapa del proceso de minería de datos educativos y en general de los modelos de dominio genérico, además, de atender la problemática asociada a los datos que provienen de múltiples fuentes y escalas para una aplicación puntual con datos de educación básica y media en Colombia, acotado también a técnicas de aprendizaje supervisado. De la mano del modelo conceptual, se presenta una estrategia de validación y aplicación de este. El modelo propuesto puede ser aplicado a diferentes contextos educativos y para diferentes fuentes de datos, contando con el conocimiento de los expertos y con la información que puede ofrecer dicho contexto académico particular, teniendo como conclusión general que los procesos de análisis de datos educativos mediante minería de datos pueden ser abordados desde un enfoque de dominio específico, contribuyendo al logro de resultados satisfactorios en términos de los modelos de minería construidos y del apoyo al usuario por medio de la guía que puede ofrecer contar con el conocimiento del dominio particular. Además, se ofrecen modelos pre-entrenados y mecanismos de transferencia de aprendizaje que permiten aprovechar las ventajas de la minería de datos en ambientes con pocos datos y sin requerimientos de expertos en técnicas de análisis de datos (Texto tomado de la fuente)The use of data analysis techniques to support educational processes, as in other data domains, seeks to enhance decision-making and planning. Information and communication technologies contribute to these analysis processes. From data mining there is an option to attend to the present needs in terms of academic data management, data that is produced from the teaching-learning process as such, as well as from administrative processes that are associated. Depending on the educational level, in the case of Colombia these levels are distributed in pre-school, basic, secondary, and higher education, the information systems where the educational data are stored vary, also influencing the nature of the institution (public or private). In the case of higher education, these information systems or data sources are usually quite structured, facilitating access to data and therefore the extraction of information and knowledge. However, at the basic and secondary education level, the data sources are more difficult to access and the treatment that the data requires before being analyzed can be considerable. In this sense, this doctoral thesis proposes a conceptual model with a specific domain approach for educational data mining, which offers solution mechanisms to the problems of each stage of the educational data mining process and in general of generic domain models. In addition, to address the problems associated with data that come from multiple sources and scales for a specific application with data from basic and secondary education in Colombia, also limited to supervised learning techniques. Hand in hand with the conceptual model, a validation and application strategy of this model is presented. The proposed model can be applied to different educational contexts and for different data sources, counting on the knowledge of the experts and with the information that this particular academic context can offer, having as a general conclusion that the educational data analysis processes through mining Data can be approached from a specific domain approach, contributing to the achievement of satisfactory results in terms of the mining models built and the support to the user through the guidance that having knowledge of the particular domain can offer. In addition, pre-trained models and transfer learning mechanisms are offered that allow taking advantage of data mining in environments with little data and without requiring experts in data analysis techniques.Programa de Formación de Capital Humano de Alto Nivel para el Departamento de Norte de Santander en el marco de la Convocatoria N°753 de Colciencias.DoctoradoDoctor en IngenieríaAnálisis y Minería de datosIndustrial, Organizaciones Y Logística.Sede Manizales187 páginasapplication/pdfspaUniversidad Nacional de ColombiaManizales - Ingeniería y Arquitectura - Doctorado en Ingeniería - Industria y OrganizacionesFacultad de Ingeniería y ArquitecturaManizales, ColombiaUniversidad Nacional de Colombia - Sede Manizales000 - Ciencias de la computación, información y obras generales::003 - SistemasAnálisis de datosDatos educativosDominio específicoEducación básica y mediaMinería de datosData analysisEducational dataSpecific domainBasic and secondary educationData miningAnálisis de inspecciónSurvey analysisModelo de dominio específico para análisis y minería de datos educativosSpecific domain model for educational data mining and analysisTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06TextAcevedo-Díaz, J. 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In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9642). https://doi.org/10.1007/978-3-319-32025-0_17BibliotecariosEstudiantesInvestigadoresMaestrosPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/85851/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1090175695.2024.pdf1090175695.2024.pdfTesis de Doctorado en Ingeniería - Industria y Organizacionesapplication/pdf5523882https://repositorio.unal.edu.co/bitstream/unal/85851/2/1090175695.2024.pdfa66c24e73271678321d7c572202a5bd4MD52THUMBNAIL1090175695.2024.pdf.jpg1090175695.2024.pdf.jpgGenerated Thumbnailimage/jpeg4522https://repositorio.unal.edu.co/bitstream/unal/85851/3/1090175695.2024.pdf.jpg6faa1f2a166737ea54677ed375c0dbc9MD53unal/85851oai:repositorio.unal.edu.co:unal/858512024-08-23 23:11:24.761Repositorio Institucional Universidad Nacional de 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