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Aplicación de la big data en la educación superior

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dc.contributor.advisorDaniel José, Salas Álvarezspa
dc.contributor.authorLafont Paez, Carlos Javier
dc.date.accessioned2022-03-01T00:50:49Z
dc.date.available2023-02-28
dc.date.available2022-03-01T00:50:49Z
dc.date.issued2022-02-28
dc.description.abstractEn este artículo se lleva a cabo una revisión sistemática de literatura (RSL) aplicada al estudio del big data como herramienta de análisis y mejoramiento de los procesos de aprendizaje en las instituciones de educación superior. Para ello, fueron seleccionaron varios artículos los cuales cumplen con criterios relacionado acerca del tema en cuestión, y posteriormente se determinó la influencia e importancia del big data en los diferentes entes que conforman las instituciones de educación superior, además de brindar una idea clara sobre la toma de decisiones apoyada en la predicción basada en análisis de grandes volúmenes de datos. Se logró determinar los países con mayor influencia del big data en las instituciones de educación superior, además de inferir algunos en los cuales la implementación de esta tecnología presenta grandes desafíos, los usos de ella y la ayuda al mejoramiento de todos los entes que conforman una institución de educación superior. El desarrollo de esta RSL se basó en la metodología de Barbara Kitchenham para lograr identificar, evaluar, elegir y sintetizar los datos de los artículos recopilados.spa
dc.description.degreelevelPregradospa
dc.description.degreenameIngeniero(a) de Sistemasspa
dc.description.modalityMonografíasspa
dc.description.tableofcontentsABSTRACT ................................................................................................................... 9eng
dc.description.tableofcontents1. INTRODUCCIÓN ................................................................................................ 10spa
dc.description.tableofcontents2. OBJETIVOS ......................................................................................................... 11spa
dc.description.tableofcontents2.1 OBJETIVO GENERAL...................................................................................... 11spa
dc.description.tableofcontents2.2 OBJETIVOS ESPECIFICOS ............................................................................. 11spa
dc.description.tableofcontents3. METODOLOGÍA ................................................................................................. 11spa
dc.description.tableofcontents3.1 FASE 1. PLANIFICACIÓN DE LA REVISIÓN ............................................... 13spa
dc.description.tableofcontents3.2 FASE 2. DESARROLLO DE LA REVISIÓN .................................................... 15spa
dc.description.tableofcontents4. RESULTADOS ..................................................................................................... 25spa
dc.description.tableofcontents5. RECOMENDACIONES ....................................................................................... 38spa
dc.description.tableofcontents6. CONCLUSIONES................................................................................................. 40spa
dc.description.tableofcontents7. BIBLIOGRAFÍA................................................................................................... 43spa
dc.format.mimetypeapplication/pdfeng
dc.identifier.urihttps://repositorio.unicordoba.edu.co/handle/ucordoba/4839eng
dc.language.isospaspa
dc.publisher.facultyFacultad de Ingenieríaspa
dc.publisher.placeMontería, Córdoba, Colombiaspa
dc.publisher.programIngeniería de Sistemasspa
dc.rightsCopyright Universidad de Córdoba, 2022spa
dc.rights.accessrightsinfo:eu-repo/semantics/embargoedAccesseng
dc.rights.creativecommonsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)spa
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/eng
dc.subject.keywordsAccreditationeng
dc.subject.keywordsBig dataeng
dc.subject.keywordsHigher educationeng
dc.subject.keywordsInternet of thingseng
dc.subject.keywordsLearningeng
dc.subject.keywordsData Miningeng
dc.subject.proposalAcreditacióneng
dc.subject.proposalAprendizajespa
dc.subject.proposalEducación superiorspa
dc.subject.proposalInternet de las cosasspa
dc.subject.proposalMacrodatosspa
dc.subject.proposalMinería de datosspa
dc.titleAplicación de la big data en la educación superiorspa
dc.typeTrabajo de grado - Pregradospa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1feng
dc.type.contentTexteng
dc.type.driverinfo:eu-repo/semantics/bachelorThesiseng
dc.type.redcolhttps://purl.org/redcol/resource_type/TPeng
dc.type.versioninfo:eu-repo/semantics/submittedVersioneng
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