Segmentation of admitted student to a public university applying K-prototype algorithm
Descripción del Articulo
Currently, data analysis is a challenging task, especially in the field of education, because in-depth research is carried out to know, understand and manage the diversity of students who enter for higher education institution and with it, to propose educational strategies to improve the teaching-le...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2021 |
| Institución: | Universidad Nacional Agraria La Molina |
| Repositorio: | Revistas - Universidad Nacional Agraria La Molina |
| Lenguaje: | español |
| OAI Identifier: | oai:revistas.lamolina.edu.pe:article/1825 |
| Enlace del recurso: | https://revistas.lamolina.edu.pe/index.php/tnu/article/view/1825 |
| Nivel de acceso: | acceso abierto |
| Materia: | perfil del ingresado algoritmos de agrupamiento segmentación, K-prototype calidad educativa semantic maps graphic organizers written texts reading comprehension comprehension levels |
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Segmentation of admitted student to a public university applying K-prototype algorithm Segmentación de los alumnos ingresantes a una universidad pública aplicando el algoritmo K-prototypeChavez, LedvirSalinas, JesusChavez, LedvirSalinas, Jesusperfil del ingresadoalgoritmos de agrupamientosegmentación, K-prototypecalidad educativasemantic mapsgraphic organizerswritten textsreading comprehensioncomprehension levelsCurrently, data analysis is a challenging task, especially in the field of education, because in-depth research is carried out to know, understand and manage the diversity of students who enter for higher education institution and with it, to propose educational strategies to improve the teaching-learning model. The objective of this article was to characterize the pro|44file of admitted student of a public university with respect to their socio-demographic, economic and academic performance variables using K-prototypes algorithm. For this purpose, data from admitted, the entrant's file and their school certificate. It was possible to determine that admitted student fits with 5 profiles, each one with its own characteristics, allowing the grouping of students with similar characteristics, contributing to the improvement of support policies, promoting changes in favor of educational quality and promoting the renovation of teaching spaces in a personalized way around the student profile that the university manages.En la actualidad, el análisis de datos es una labor desafiante, especialmente en el campo de la educación, debido a que se realizan investigaciones profundas para conocer, entender y gestionar la diversidad de alumnos que ingresan a cada institución superior y con ello plantear estrategias educativas para mejorar el modelo de enseñanza – aprendizaje. El objetivo de este artículo fue caracterizar el perfil de los ingresantes de una universidad pública respecto a sus variables sociodemográficas, económicas y de rendimiento académico utilizando el algoritmo K-prototypes, para lo cual se utilizó datos de alumnos ingresados a la Universidad Nacional Agraria La Molina (Lima, Perú) recolectados a partir del examen de admisión, ficha del ingresante y su certificado de estudios escolares. Se pudo determinar que los ingresados en estudio se ajustan a 5 perfiles, cada uno con características propias, permitiendo agrupar a los ingresados con características similares, contribuyendo a la mejora de políticas de acompañamiento, impulsando cambios a favor de la calidad educativa y promoviendo la renovación de los espacios de enseñanza de manera personalizada en torno al perfil del alumno que la universidad gestiona.Universidad Nacional Agraria La Molina2021-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistas.lamolina.edu.pe/index.php/tnu/article/view/182510.21704/rtn.v15i2.1825Tierra Nuestra; Vol. 15 No. 2 (2021): July to December; 10-21Tierra Nuestra; Vol. 15 Núm. 2 (2021): Julio a Diciembre; 10-212519-738X1818-4103reponame:Revistas - Universidad Nacional Agraria La Molinainstname:Universidad Nacional Agraria La Molinainstacron:UNALMspahttps://revistas.lamolina.edu.pe/index.php/tnu/article/view/1825/2355https://revistas.lamolina.edu.pe/index.php/tnu/article/view/1825/2411Derechos de autor 2022 Ledvir Ayrton Walter Chávez Valderrama , Jesús Walter Salinas Floreshttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:revistas.lamolina.edu.pe:article/18252022-09-01T18:22:12Z |
| dc.title.none.fl_str_mv |
Segmentation of admitted student to a public university applying K-prototype algorithm Segmentación de los alumnos ingresantes a una universidad pública aplicando el algoritmo K-prototype |
| title |
Segmentation of admitted student to a public university applying K-prototype algorithm |
| spellingShingle |
Segmentation of admitted student to a public university applying K-prototype algorithm Chavez, Ledvir perfil del ingresado algoritmos de agrupamiento segmentación, K-prototype calidad educativa semantic maps graphic organizers written texts reading comprehension comprehension levels |
| title_short |
Segmentation of admitted student to a public university applying K-prototype algorithm |
| title_full |
Segmentation of admitted student to a public university applying K-prototype algorithm |
| title_fullStr |
Segmentation of admitted student to a public university applying K-prototype algorithm |
| title_full_unstemmed |
Segmentation of admitted student to a public university applying K-prototype algorithm |
| title_sort |
Segmentation of admitted student to a public university applying K-prototype algorithm |
| dc.creator.none.fl_str_mv |
Chavez, Ledvir Salinas, Jesus Chavez, Ledvir Salinas, Jesus |
| author |
Chavez, Ledvir |
| author_facet |
Chavez, Ledvir Salinas, Jesus |
| author_role |
author |
| author2 |
Salinas, Jesus |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
perfil del ingresado algoritmos de agrupamiento segmentación, K-prototype calidad educativa semantic maps graphic organizers written texts reading comprehension comprehension levels |
| topic |
perfil del ingresado algoritmos de agrupamiento segmentación, K-prototype calidad educativa semantic maps graphic organizers written texts reading comprehension comprehension levels |
| description |
Currently, data analysis is a challenging task, especially in the field of education, because in-depth research is carried out to know, understand and manage the diversity of students who enter for higher education institution and with it, to propose educational strategies to improve the teaching-learning model. The objective of this article was to characterize the pro|44file of admitted student of a public university with respect to their socio-demographic, economic and academic performance variables using K-prototypes algorithm. For this purpose, data from admitted, the entrant's file and their school certificate. It was possible to determine that admitted student fits with 5 profiles, each one with its own characteristics, allowing the grouping of students with similar characteristics, contributing to the improvement of support policies, promoting changes in favor of educational quality and promoting the renovation of teaching spaces in a personalized way around the student profile that the university manages. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-12-30 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.lamolina.edu.pe/index.php/tnu/article/view/1825 10.21704/rtn.v15i2.1825 |
| url |
https://revistas.lamolina.edu.pe/index.php/tnu/article/view/1825 |
| identifier_str_mv |
10.21704/rtn.v15i2.1825 |
| dc.language.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.none.fl_str_mv |
https://revistas.lamolina.edu.pe/index.php/tnu/article/view/1825/2355 https://revistas.lamolina.edu.pe/index.php/tnu/article/view/1825/2411 |
| dc.rights.none.fl_str_mv |
Derechos de autor 2022 Ledvir Ayrton Walter Chávez Valderrama , Jesús Walter Salinas Flores https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Derechos de autor 2022 Ledvir Ayrton Walter Chávez Valderrama , Jesús Walter Salinas Flores https://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf text/html |
| dc.publisher.none.fl_str_mv |
Universidad Nacional Agraria La Molina |
| publisher.none.fl_str_mv |
Universidad Nacional Agraria La Molina |
| dc.source.none.fl_str_mv |
Tierra Nuestra; Vol. 15 No. 2 (2021): July to December; 10-21 Tierra Nuestra; Vol. 15 Núm. 2 (2021): Julio a Diciembre; 10-21 2519-738X 1818-4103 reponame:Revistas - Universidad Nacional Agraria La Molina instname:Universidad Nacional Agraria La Molina instacron:UNALM |
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Universidad Nacional Agraria La Molina |
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UNALM |
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UNALM |
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Revistas - Universidad Nacional Agraria La Molina |
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Revistas - Universidad Nacional Agraria La Molina |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
