Analítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtos

ilustraciones, gráficas, tablas

Autores:
Chaparro Amaya, Edna Johanna
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/83049
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/83049
https://repositorio.unal.edu.co/
Palabra clave:
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
Análisis de contenido
Análisis de correlaciones
Analítica del aprendizaje
Métodos mixtos
Programación de computadores
Learning analytics
Mixed methods
Computer programming
Correlation analysis
Content analysis
Análisis de datos
Programación informática
Evaluación de la educación
Data analysis
Computer programming
Educational evaluation
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_9de2454ae835247b24289f661701ce65
oai_identifier_str oai:repositorio.unal.edu.co:unal/83049
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Analítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtos
dc.title.translated.eng.fl_str_mv Learning analytics in Computer Programming: a mixed-methods investigation
title Analítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtos
spellingShingle Analítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtos
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
Análisis de contenido
Análisis de correlaciones
Analítica del aprendizaje
Métodos mixtos
Programación de computadores
Learning analytics
Mixed methods
Computer programming
Correlation analysis
Content analysis
Análisis de datos
Programación informática
Evaluación de la educación
Data analysis
Computer programming
Educational evaluation
title_short Analítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtos
title_full Analítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtos
title_fullStr Analítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtos
title_full_unstemmed Analítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtos
title_sort Analítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtos
dc.creator.fl_str_mv Chaparro Amaya, Edna Johanna
dc.contributor.advisor.spa.fl_str_mv Restrepo Calle, Felipe
dc.contributor.author.spa.fl_str_mv Chaparro Amaya, Edna Johanna
dc.contributor.researchgroup.spa.fl_str_mv Plas Programming languages And Systems
dc.subject.ddc.spa.fl_str_mv 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
topic 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
Análisis de contenido
Análisis de correlaciones
Analítica del aprendizaje
Métodos mixtos
Programación de computadores
Learning analytics
Mixed methods
Computer programming
Correlation analysis
Content analysis
Análisis de datos
Programación informática
Evaluación de la educación
Data analysis
Computer programming
Educational evaluation
dc.subject.proposal.spa.fl_str_mv Análisis de contenido
Análisis de correlaciones
Analítica del aprendizaje
Métodos mixtos
Programación de computadores
dc.subject.proposal.eng.fl_str_mv Learning analytics
Mixed methods
Computer programming
Correlation analysis
Content analysis
dc.subject.unesco.spa.fl_str_mv Análisis de datos
Programación informática
Evaluación de la educación
dc.subject.unesco.eng.fl_str_mv Data analysis
Computer programming
Educational evaluation
description ilustraciones, gráficas, tablas
publishDate 2022
dc.date.issued.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-01-20T17:55:21Z
dc.date.available.none.fl_str_mv 2023-01-20T17:55:21Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/83049
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/83049
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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dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
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dc.format.extent.spa.fl_str_mv xvii, 139 páginas
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dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv Bogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y Computación
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingeniería
dc.publisher.place.spa.fl_str_mv Bogotá, Colombia
dc.publisher.branch.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá
institution Universidad Nacional de Colombia
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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_abf2Restrepo Calle, Felipe82117c6c71f31211f86863049b600db3Chaparro Amaya, Edna Johanna45b9d71ae23ad4e183423268506dc47a600Plas Programming languages And Systems2023-01-20T17:55:21Z2023-01-20T17:55:21Z2022https://repositorio.unal.edu.co/handle/unal/83049Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, gráficas, tablasEl reciente crecimiento de nuevas formas de datos educativos, ha hecho que la analítica del aprendizaje surja como una solución para identificar información relevante en la toma de decisiones educativas. Un grupo de investigaciones en analítica del aprendizaje se concentra en identificar variables del proceso de aprendizaje relacionadas con el desempeño académico de los estudiantes. Sin embargo, pocas investigaciones consideran el uso de metodologías mixtas o cualitativas, lo que limita el entendimiento sobre los comportamientos de los alumnos. El objetivo general de este trabajo es determinar las relaciones existentes entre las medidas y métricas derivadas del proceso de aprendizaje y el rendimiento académico de los estudiantes en la asignatura Programación de Computadores de la Facultad de Ingeniería en la Universidad Nacional de Colombia durante 2019 y 2020. Este trabajo propone un diseño metodológico con enfoque mixto, no experimental, donde la fase cualitativa de la metodología está enfocada hacia el análisis de contenido. Los resultados evidencian que existe una correlación positiva entre la cantidad de intentos de solución realizados por el alumno y su desempeño académico, lo que posiblemente se puede asociar a las percepciones de los estudiantes sobre la plataforma educativa utilizada en el curso como un ambiente que promueve la práctica constante debido a su disponibilidad en línea. Los errores/veredictos de las soluciones enviadas (respuesta correctas e incorrecta, límite de memoria excedido, errores de compilación y límite de tiempo excedido) también tienen correlaciones positivas, las cuales son corroboradas con las referencias de los estudiantes sobre retroalimentación formativa, consejos orientativos y casos de prueba. Métricas de software como el conteo de tokens y las líneas de código de los programas diseñados por los estudiantes tienen una correlación positiva significativa con la calificación final del alumno, lo cual se puede vincular con las referencias sobre ejercicios estimulantes y motivantes dentro de la plataforma educativa. Por otra parte, el índice de mantenibilidad tiene una correlación negativa, lo que se puede relacionar con las opiniones que resaltan la obtención de habilidades de programación. En contraste, se observan correlaciones negativas entre el uso de las herramientas de la plataforma educativa utilizada en el curso (p. ej. pruebas personalizadas, visualización de la ejecución del código y verificación de buenas prácticas de programación) con el rendimiento académico, las cuales son refutadas con las referencias de los estudiantes a estas herramientas como elementos positivos de la plataforma. En conclusión, se evidencia como el uso de métodos mixtos permite que los hallazgos de la fase cuantitativa sean corroborados, complementados o refutados por medio de las observaciones de los datos cualitativos. (Texto tomado de la fuente).The recent growth of new forms of educational data has led to the emergence of learning analytics as a solution to identify relevant information for educational decision making. A body of research in learning analytics focuses on identifying learning process variables related to students’ academic performance. However, little research considers the use of mixed or qualitative methodologies, which limits the understanding of student behaviors. The general objective of this work is to determine the existing relationships between measures and metrics derived from the learning process and the academic performance of students in the Computer Programming courses of the Faculty of Engineering at the National University of Colombia during 2019 and 2020. This work proposes a methodological design with a mixed, non-experimental approach, where the qualitative phase of the methodology is focused on content analysis. The results show that there is a positive correlation between the number of solution attempts made by the student and their academic performance, which can possibly be associated with the students’ perceptions of the educational platform used in the course as an environment that promotes constant practice due to its online availability. Errors/verdicts of submitted solutions (correct and incorrect answer, memory limit exceeded, compilation errors, and time limit exceeded) also have positive correlations, which are corroborated with students’ references to formative feedback, guiding hints, and test cases. Software metrics such as token count and lines of code of student-designed programs have a significant positive correlation with the student’s final grade, which can be linked to references about stimulating and motivating exercises within the educational platform. On the other hand, the maintainability index has a negative correlation, which can be linked to opinions highlighting the attainment of programming skills. In contrast, negative correlations are observed between the use of the educational platform tools used in the course (e.g., custom input tests, visualization of code execution and verification of good programming practices) with academic performance, which are refuted by the students’ references to these tools as positive elements of the platform. In conclusion, it is evident how the use of mixed methods allows the findings of the quantitative phase to be corroborated, complemented or refuted by the observations of the qualitative data.MaestríaMagíster en Ingeniería - Ingeniería de Sistemas y ComputaciónComputación aplicada - educación en ingenieríaxvii, 139 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y ComputaciónFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingenieríaAnálisis de contenidoAnálisis de correlacionesAnalítica del aprendizajeMétodos mixtosProgramación de computadoresLearning analyticsMixed methodsComputer programmingCorrelation analysisContent analysisAnálisis de datosProgramación informáticaEvaluación de la educaciónData analysisComputer programmingEducational evaluationAnalítica de aprendizaje en la asignatura Programación de Computadores: una investigación basada en métodos mixtosLearning analytics in Computer Programming: a mixed-methods investigationTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAljohani, N. 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McGraw-Hill Osborne Media.EstudiantesInvestigadoresMaestrosPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/83049/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1032456294.2022.pdf1032456294.2022.pdfTesis de Maestría en Ingeniería - Ingeniería de Sistemas y Computaciónapplication/pdf2866113https://repositorio.unal.edu.co/bitstream/unal/83049/2/1032456294.2022.pdf374a2c741387cd47e54d0cdcedddff43MD52THUMBNAIL1032456294.2022.pdf.jpg1032456294.2022.pdf.jpgGenerated Thumbnailimage/jpeg4832https://repositorio.unal.edu.co/bitstream/unal/83049/3/1032456294.2022.pdf.jpg91888618e9b2959e9167a9c5d1155960MD53unal/83049oai:repositorio.unal.edu.co:unal/830492023-08-13 23:05:28.258Repositorio Institucional Universidad Nacional de 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