Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference Techniques
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | preprint |
Idioma: | spa |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/6674 |
Resumo: | This work presents the analyses conducted to discover the underlying factors that contribute to the prolonged delays in the approval of first-year courses observed in the Civil Engineering Career of the Faculty of Exact Sciences and Technology (FACET) of the National University of Tucumán (UNT), Argentina. Until the year 2019, students take an average of 5 years to pass their first-year courses. Determining the causes of this delay was the reason for the present investigation. Our analysis was based on the implementation of the DoWhy framework (Blöbaum et al., 2022; Sharma y Kiciman, 2020) and Causal Discovery Toollbox (CDT) (Kalainathan et al., 2020), a tools designed for causal inference. Our goal was to unravel the web of variables that influence course approval times. The study findings illuminate a fundamental causal factor leading to a statistically significant increase in length of approval. Precisely, our findings unveiled the pivotal influence of the regulatory framework governing the academic program, as well as the methodologies employed for evaluation. Notably, the accumulation of core subjects that remain pending for a final examination emerged as a central determining factor. This knowledge has the potential to guide targeted interventions, improving both student success rates and the overall effectiveness of the education system. |
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Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference TechniquesAnálisis Causal de los Retrasos en la Aprobación de Materias de Primer Año en una Carrera de Ingeniería mediante Técnicas de InferenciaCausal InferenceCourse Approval DelaysEngineering EducationInferencia causalretrasos en la aprobación de cursoseducación en ingenieríaThis work presents the analyses conducted to discover the underlying factors that contribute to the prolonged delays in the approval of first-year courses observed in the Civil Engineering Career of the Faculty of Exact Sciences and Technology (FACET) of the National University of Tucumán (UNT), Argentina. Until the year 2019, students take an average of 5 years to pass their first-year courses. Determining the causes of this delay was the reason for the present investigation. Our analysis was based on the implementation of the DoWhy framework (Blöbaum et al., 2022; Sharma y Kiciman, 2020) and Causal Discovery Toollbox (CDT) (Kalainathan et al., 2020), a tools designed for causal inference. Our goal was to unravel the web of variables that influence course approval times. The study findings illuminate a fundamental causal factor leading to a statistically significant increase in length of approval. Precisely, our findings unveiled the pivotal influence of the regulatory framework governing the academic program, as well as the methodologies employed for evaluation. Notably, the accumulation of core subjects that remain pending for a final examination emerged as a central determining factor. This knowledge has the potential to guide targeted interventions, improving both student success rates and the overall effectiveness of the education system.En este estudio se exponen las técnicas de inferencia causal utilizadas para descubrir los factores subyacentes que contribuyen a los retrasos prolongados en la aprobación de cursos de primer año que se observan en la Carrera de Ingeniería Civil de la Facultad de Ciencias Exactas y Tecnología (FACET). de la Universidad Nacional de Tucumán (UNT), Argentina. Hasta el año 2019, los estudiantes tardan un promedio de 5 años en aprobar sus asignaturas del primer año. Determinar las causas de ese retraso fue el motivo de la presente investigación. Nuestro análisis se basó en la utilización del marco de trabajo DoWhy (Blöbaum et al., 2022; Sharma y Kiciman, 2020) y Causal Discovery Toollbox (CDT) (Kalainathan et al., 2020), herramientas diseñadas para la inferencia causal. Nuestro objetivo era desentrañar la red de variables que influyen en los tiempos de aprobación de los cursos. Los hallazgos del estudio iluminan un factor causal fundamental que conduce a un aumento estadísticamente significativo en la duración de la aprobación. Específicamente, se reveló que la estructura regulatoria del programa académico y los métodos de evaluación empleados juegan un papel sustancial. En particular, la acumulación de materias regulares que aún no han sido aprobadas mediante un examen final surgió como un determinante clave. Este conocimiento tiene el potencial de guiar intervenciones específicas, mejorando tanto las tasas de éxito de los estudiantes como la eficacia general del sistema educativo.SciELO PreprintsSciELO PreprintsSciELO Preprints2023-09-01info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/667410.1590/SciELOPreprints.6674spahttps://preprints.scielo.org/index.php/scielo/article/view/6674/12735Copyright (c) 2023 Hugo Pazhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessPaz, Hugoreponame:SciELO Preprintsinstname:Scientific Electronic Library Online (SCIELO)instacron:SCI2023-08-24T16:57:46Zoai:ops.preprints.scielo.org:preprint/6674Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2023-08-24T16:57:46SciELO Preprints - Scientific Electronic Library Online (SCIELO)false |
dc.title.none.fl_str_mv |
Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference Techniques Análisis Causal de los Retrasos en la Aprobación de Materias de Primer Año en una Carrera de Ingeniería mediante Técnicas de Inferencia |
title |
Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference Techniques |
spellingShingle |
Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference Techniques Paz, Hugo Causal Inference Course Approval Delays Engineering Education Inferencia causal retrasos en la aprobación de cursos educación en ingeniería |
title_short |
Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference Techniques |
title_full |
Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference Techniques |
title_fullStr |
Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference Techniques |
title_full_unstemmed |
Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference Techniques |
title_sort |
Causal Analysis of First-Year Course Approval Delays in a Engineering Major Through Inference Techniques |
author |
Paz, Hugo |
author_facet |
Paz, Hugo |
author_role |
author |
dc.contributor.author.fl_str_mv |
Paz, Hugo |
dc.subject.por.fl_str_mv |
Causal Inference Course Approval Delays Engineering Education Inferencia causal retrasos en la aprobación de cursos educación en ingeniería |
topic |
Causal Inference Course Approval Delays Engineering Education Inferencia causal retrasos en la aprobación de cursos educación en ingeniería |
description |
This work presents the analyses conducted to discover the underlying factors that contribute to the prolonged delays in the approval of first-year courses observed in the Civil Engineering Career of the Faculty of Exact Sciences and Technology (FACET) of the National University of Tucumán (UNT), Argentina. Until the year 2019, students take an average of 5 years to pass their first-year courses. Determining the causes of this delay was the reason for the present investigation. Our analysis was based on the implementation of the DoWhy framework (Blöbaum et al., 2022; Sharma y Kiciman, 2020) and Causal Discovery Toollbox (CDT) (Kalainathan et al., 2020), a tools designed for causal inference. Our goal was to unravel the web of variables that influence course approval times. The study findings illuminate a fundamental causal factor leading to a statistically significant increase in length of approval. Precisely, our findings unveiled the pivotal influence of the regulatory framework governing the academic program, as well as the methodologies employed for evaluation. Notably, the accumulation of core subjects that remain pending for a final examination emerged as a central determining factor. This knowledge has the potential to guide targeted interventions, improving both student success rates and the overall effectiveness of the education system. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
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publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/6674 10.1590/SciELOPreprints.6674 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/6674 |
identifier_str_mv |
10.1590/SciELOPreprints.6674 |
dc.language.iso.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/6674/12735 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Hugo Paz https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Hugo Paz https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
dc.source.none.fl_str_mv |
reponame:SciELO Preprints instname:Scientific Electronic Library Online (SCIELO) instacron:SCI |
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Scientific Electronic Library Online (SCIELO) |
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SCI |
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SciELO Preprints |
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SciELO Preprints - Scientific Electronic Library Online (SCIELO) |
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