Una propuesta de formación en estadística y ciencia de datos para profesores de matemáticas.

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dc.contributor.advisorRendón Mayorga, César Guillermospa
dc.contributor.authorCárdenas Román, Johan Santiagospa
dc.contributor.authorGuerrero Castro, Keanu Narnovarickspa
dc.coverage.spatialColombia
dc.coverage.temporalSiglo XXI
dc.date.accessioned2026-03-19T13:40:22Z
dc.date.available2026-03-19T13:40:22Z
dc.date.issued2025
dc.description.abstractSe presenta una propuesta formación en estadística y ciencia de datos dirigido a los estudiantes de la Licenciatura en Matemáticas de la Universidad Pedagógica Nacional a través del diseño de una cartilla. Esta busca fortalecer competencias estadísticas y de los futuros profesores, promoviendo una comprensión crítica y contextualizada del análisis de datos. La cartilla se fundamenta en la necesidad de superar los enfoques tradicionales de enseñanza centrados en la memorización de procedimientos y algoritmos, para avanzar hacia una educación estadística y de ciencia de datos que fomente el razonamiento, la interpretación crítica y la toma de decisiones informadas. Además, reconoce que la formación actual debe incluir no solo los conceptos básicos de la estadística descriptiva, sino también el análisis de grandes volúmenes de datos mediante software especializado. Desde esta perspectiva, esta propuesta integra herramientas de ciencia de datos que permiten modelar, visualizar y procesar información compleja, acercando a los estudiantes a prácticas contemporáneas de análisis basadas en datos reales y en la automatización computacional. El diseño de la cartilla se estructura a partir del ciclo de datos sugerido por Lee y Delaney (2022), integrando fases de problematización, plan, análisis y conclusiones. Así mismo, se incorporan herramientas tecnológicas como R, Excel y la IA que permiten realizar análisis exploratorios y descriptivos de datos reales. El resultado del trabajo de grado incluye el material didáctico (cartilla) que orienta la búsqueda de fomentar el pensamiento estadístico en un contexto educativo a través de la integración de la ciencia de datos.spa
dc.description.abstractenglishThis undergraduate thesis presents a proposal for designing a statistics and data science workbook aimed at students in the Mathematics Education Program at the Universidad Pedagógica Nacional. The workbook seeks to strengthen the statistical and technological competencies of future teachers, promoting a critical and contextualized understanding of data analysis. It is grounded in the need to move beyond traditional teaching approaches centered on the memorization of procedures and algorithms, advancing instead toward a form of statistical and data science education that fosters reasoning, critical interpretation, and informed decision-making. Furthermore, it recognizes that current teacher preparation must include not only basic concepts of descriptive statistics, but also the analysis of large datasets using specialized software. From this perspective, the proposal integrates data science tools that enable the modeling, visualization, and processing of complex information, bringing students closer to contemporary data-based analytical practices and computational automation. The design of the workbook is structured around the data cycle suggested by Lee and Delaney (2022), incorporating phases of problem formulation, planning, analysis, and conclusions. Likewise, it integrates technological tools such as R, Excel, and AI to facilitate exploratory and descriptive analyses of real datasets. The outcome of this thesis includes the didactic material (workbook) that guides its aims to foster statistical thinking in an educational context through the integration of data science.eng
dc.description.degreelevelPregradospa
dc.description.degreenameLicenciado en Matemáticasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameinstname:Universidad Pedagógica Nacionalspa
dc.identifier.reponamereponame: Repositorio Institucional UPNspa
dc.identifier.repourlrepourl: http://repositorio.pedagogica.edu.co/
dc.identifier.urihttp://hdl.handle.net/20.500.12209/22181
dc.language.isoes
dc.publisherUniversidad Pedagógica Nacionalspa
dc.publisher.facultyFacultad de Ciencia y Tecnologíaspa
dc.publisher.programLicenciatura en Matemáticasspa
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2
dc.rights.creativecommonsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEstadísticaspa
dc.subjectEducación estadísticaspa
dc.subjectCiencia de datosspa
dc.subjectFormación docentespa
dc.subjectPensamiento estadísticospa
dc.subject.keywordsStatisticseng
dc.subject.keywordsData scienceeng
dc.subject.keywordsTeacher trainingeng
dc.subject.keywordsStatistics educationeng
dc.subject.keywordsStatistical thinkingeng
dc.titleUna propuesta de formación en estadística y ciencia de datos para profesores de matemáticas.spa
dc.type.coarhttp://purl.org/coar/resource_type/c_7a1feng
dc.type.driverinfo:eu-repo/semantics/bachelorThesiseng
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.type.localTesis/Trabajo de grado - Monografía - Pregradospa

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