Impact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]

Introduction. In Colombia, the General Education Law gave Educational Institutions the authority to organize their academic curricula according to their corresponding Educational Projects. Based on this institutional autonomy, some educational institutions have divided the area of mathematics into s...

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Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
spa
OAI Identifier:
oai:repository.udem.edu.co:11407/5815
Acceso en línea:
http://hdl.handle.net/11407/5815
Palabra clave:
Random effects model
Repeated measures
Saber 11 tests
Standardized tests
Statistics
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http://purl.org/coar/access_right/c_16ec
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oai_identifier_str oai:repository.udem.edu.co:11407/5815
network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
dc.title.none.fl_str_mv Impact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]
title Impact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]
spellingShingle Impact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]
Random effects model
Repeated measures
Saber 11 tests
Standardized tests
Statistics
title_short Impact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]
title_full Impact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]
title_fullStr Impact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]
title_full_unstemmed Impact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]
title_sort Impact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]
dc.subject.none.fl_str_mv Random effects model
Repeated measures
Saber 11 tests
Standardized tests
Statistics
topic Random effects model
Repeated measures
Saber 11 tests
Standardized tests
Statistics
description Introduction. In Colombia, the General Education Law gave Educational Institutions the authority to organize their academic curricula according to their corresponding Educational Projects. Based on this institutional autonomy, some educational institutions have divided the area of mathematics into subjects such as statistics and geometry; also they have allocated a weekly time to each one of these subjects. In contrast, other institutions organize the area of mathematics by themes developed at specific times during the school year. In this sense, knowing the effects that one or another allocation could have on educational processes represents an interest for research and for teachers and educational institutions. Objective. Determine the effect that the allocation of teaching hours spent on the statistics subject could have on student performance on the Saber 11th Test in public educational institutions from Medellin-Colombia. Materials and Method. Data were extracted from the Saber 11-test results. A linear model was adjusted with mixed effects. Results. After controlling for the institution effect, it was found that some student-specific variables do impact the results in mathematics. However, allocation of teaching hours spent on statistics is not a significant factor. Conclusions. Time allocation and teaching hours spent on a statistics course do not have automatic or immediate impact on student performance. Every institution should consider strategies to promote student competencies according to their economic and social conditions. © 2019 Corporacion Universitaria Lasallista.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2020-04-29T14:54:08Z
dc.date.available.none.fl_str_mv 2020-04-29T14:54:08Z
dc.date.none.fl_str_mv 2019
dc.type.eng.fl_str_mv Article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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dc.identifier.issn.none.fl_str_mv 17944449
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/5815
dc.identifier.doi.none.fl_str_mv 10.22507/rli.v16n1a7
identifier_str_mv 17944449
10.22507/rli.v16n1a7
url http://hdl.handle.net/11407/5815
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language spa
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dc.relation.citationstartpage.none.fl_str_mv 201
dc.relation.citationendpage.none.fl_str_mv 213
dc.relation.references.none.fl_str_mv Batanero, C., Díaz, C., (2011) Estadística Con Proyectos. Granada: Departamento De Didáctica De La Matemática, , http://www.ugr.es/local/batanero/publicaciones%20index.htm
Caro, B., Casas, A., Análisis de las diferencias de género en el desempeño de estudiantes colombianos en matemáticas y lenguaje (2013) Instituto Colombiano Para La Evaluación De La Educación, , ICFES, Bogotá
Hincapié, D., (2014) Do Longer School Days Improve Student Achievement? Evidence From Colombia. Paper Presented At the Association For Education Finance and Policy Annual Conference, pp. 13-15. , San Antonio, TX March
Laird, N.M., Ware, J.H., Random-Effects Models for Longitudinal Data (1982) Biometrics, 38, pp. 963-974
Liu, H., Yan, Z., Shen, J., Goodnessof-fit measures of R2 for repeated measures mixed effect models (2008) Journal of Applied Statistics, 35, pp. 1081-1092
Estándares Básicos de Competencias en Lenguaje, Matemáticas (2006) Ciencias Y Ciudadanas, , Ministerio de Educación Nacional, Bogotá: Ministerio de Educación Nacional
Niss, M., Bruder, R., Planas, N., Turner, R., Villa-Ochoa, J.A., Conceptualisation of the Role of Competencies, Knowing and Knowledge in Mathematics Education Research (2017) Proceedings of the 13th International Congress On Mathematical Education, pp. 235-248. , https://doi.org/10.1007/978-3-319-62597-3_15, In G. Kaiser (Ed.), Cham: Springer International Publishing
Ovalle-Ramírez, C.P., Efecto de la doble jornada escolar en el desempeño académico de los estudiantes colombianos: Un análisis empírico para informar la política de jornada única (2018) Education Policy Analysis Archives, 26, p. 81. , https://doi.org/10.14507/epaa.26.2990
Ovalle-Ramírez, C., Villa-Ochoa, J.A., González-Gómez, D., Efecto de la jornada escolar en el desempeño académico de los estudiantes colombianos: Análisis cuasi-experimental y de mediación estadística para informar la política pública de jornada única (2018) Educación Y Ciudad, 34, pp. 39-52
Smith, G., Learning Statistics by Doing Statistics (1998) Journal of Statistics Education, 6 (3), pp. 1-12
Vonesh, E.F., Chinchilli, V.M., Pu, K., Goodness-of-fit in generalized nonlinear mixed-effects models (1996) Biometrics, 52, pp. 572-587
Zacharopoulou, H., Two Learning Activities for a Large Introductory Statistics Class (2006) Journal of Statistics Education, 14 (1), pp. 1-10
Zapata-Cardona, L., Alcance de las tareas propuestas por los profesores de estadística (2014) Uni-pluriversidad, 14 (1), pp. 52-53
Zapata-Cardona, L., Gonzalez-Gómez, D., Imágenes de los profesores sobre la estadística y su enseñanza (2017) Educacion Matematica, 29 (1), pp. 61-89
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.none.fl_str_mv Corporacion Universitaria Lasallista
dc.publisher.program.none.fl_str_mv Ingeniería Financiera
dc.publisher.faculty.none.fl_str_mv Facultad de Ingenierías
publisher.none.fl_str_mv Corporacion Universitaria Lasallista
dc.source.none.fl_str_mv Revista Lasallista de Investigacion
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
_version_ 1814159157201207296
spelling 20192020-04-29T14:54:08Z2020-04-29T14:54:08Z17944449http://hdl.handle.net/11407/581510.22507/rli.v16n1a7Introduction. In Colombia, the General Education Law gave Educational Institutions the authority to organize their academic curricula according to their corresponding Educational Projects. Based on this institutional autonomy, some educational institutions have divided the area of mathematics into subjects such as statistics and geometry; also they have allocated a weekly time to each one of these subjects. In contrast, other institutions organize the area of mathematics by themes developed at specific times during the school year. In this sense, knowing the effects that one or another allocation could have on educational processes represents an interest for research and for teachers and educational institutions. Objective. Determine the effect that the allocation of teaching hours spent on the statistics subject could have on student performance on the Saber 11th Test in public educational institutions from Medellin-Colombia. Materials and Method. Data were extracted from the Saber 11-test results. A linear model was adjusted with mixed effects. Results. After controlling for the institution effect, it was found that some student-specific variables do impact the results in mathematics. However, allocation of teaching hours spent on statistics is not a significant factor. Conclusions. Time allocation and teaching hours spent on a statistics course do not have automatic or immediate impact on student performance. Every institution should consider strategies to promote student competencies according to their economic and social conditions. © 2019 Corporacion Universitaria Lasallista.spaCorporacion Universitaria LasallistaIngeniería FinancieraFacultad de Ingenieríashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85082661690&doi=10.22507%2frli.v16n1a7&partnerID=40&md5=0ad8a0b1563d8e05fafc756d5f361673161201213Batanero, C., Díaz, C., (2011) Estadística Con Proyectos. Granada: Departamento De Didáctica De La Matemática, , http://www.ugr.es/local/batanero/publicaciones%20index.htmCaro, B., Casas, A., Análisis de las diferencias de género en el desempeño de estudiantes colombianos en matemáticas y lenguaje (2013) Instituto Colombiano Para La Evaluación De La Educación, , ICFES, BogotáHincapié, D., (2014) Do Longer School Days Improve Student Achievement? Evidence From Colombia. Paper Presented At the Association For Education Finance and Policy Annual Conference, pp. 13-15. , San Antonio, TX MarchLaird, N.M., Ware, J.H., Random-Effects Models for Longitudinal Data (1982) Biometrics, 38, pp. 963-974Liu, H., Yan, Z., Shen, J., Goodnessof-fit measures of R2 for repeated measures mixed effect models (2008) Journal of Applied Statistics, 35, pp. 1081-1092Estándares Básicos de Competencias en Lenguaje, Matemáticas (2006) Ciencias Y Ciudadanas, , Ministerio de Educación Nacional, Bogotá: Ministerio de Educación NacionalNiss, M., Bruder, R., Planas, N., Turner, R., Villa-Ochoa, J.A., Conceptualisation of the Role of Competencies, Knowing and Knowledge in Mathematics Education Research (2017) Proceedings of the 13th International Congress On Mathematical Education, pp. 235-248. , https://doi.org/10.1007/978-3-319-62597-3_15, In G. Kaiser (Ed.), Cham: Springer International PublishingOvalle-Ramírez, C.P., Efecto de la doble jornada escolar en el desempeño académico de los estudiantes colombianos: Un análisis empírico para informar la política de jornada única (2018) Education Policy Analysis Archives, 26, p. 81. , https://doi.org/10.14507/epaa.26.2990Ovalle-Ramírez, C., Villa-Ochoa, J.A., González-Gómez, D., Efecto de la jornada escolar en el desempeño académico de los estudiantes colombianos: Análisis cuasi-experimental y de mediación estadística para informar la política pública de jornada única (2018) Educación Y Ciudad, 34, pp. 39-52Smith, G., Learning Statistics by Doing Statistics (1998) Journal of Statistics Education, 6 (3), pp. 1-12Vonesh, E.F., Chinchilli, V.M., Pu, K., Goodness-of-fit in generalized nonlinear mixed-effects models (1996) Biometrics, 52, pp. 572-587Zacharopoulou, H., Two Learning Activities for a Large Introductory Statistics Class (2006) Journal of Statistics Education, 14 (1), pp. 1-10Zapata-Cardona, L., Alcance de las tareas propuestas por los profesores de estadística (2014) Uni-pluriversidad, 14 (1), pp. 52-53Zapata-Cardona, L., Gonzalez-Gómez, D., Imágenes de los profesores sobre la estadística y su enseñanza (2017) Educacion Matematica, 29 (1), pp. 61-89Revista Lasallista de InvestigacionRandom effects modelRepeated measuresSaber 11 testsStandardized testsStatisticsImpact of the time intensity of statistics in the saber 11 tests [Impacto de la intensidad horaria de la estadística en las pruebas saber 11]Articleinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Zuluaica, C.A., Universidad de Medellín. Matemático, Universidad Nacional de Colombia., Colombia; del Pilar Yepes-Guerra, A., Universidad de Medellín, Secretaría de Educación de Medellín., Colombia; Villa-Ochoa, J.A., Universidad de Antioquia, Colombia; Guzmán-Aguilar, D.S., Universidad de Medellín, Colombiahttp://purl.org/coar/access_right/c_16ecZuluaica C.A.del Pilar Yepes-Guerra A.Villa-Ochoa J.A.Guzmán-Aguilar D.S.11407/5815oai:repository.udem.edu.co:11407/58152020-05-27 16:36:47.979Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co