Selection of Candidates in the Absence of a College Entrance Exam

Selection of Candidates in the Absence of a College Entrance Exam

Given the exceptional circumstances of the COVID-19 pandemic and the problems faced in conducting mass student examinations, this article explores alternatives to an in-person exam to select candidates hoping to gain admission to higher education institutions, based on available information about st...

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Autores principales: Pedroza Zuñiga, Luis Horacio, López García, Alma Yadhira, Peniche Cetzal, Rubi Surema, Nájera Saucedo, Jessica
格式: Online
语言:spa
出版: Universidad Autónoma de Baja California. Instituto de Investigación y Desarrollo Educativo 2022
在线阅读:https://redie.uabc.mx/redie/article/view/4611
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spelling redie-article-46112024-05-03T19:25:22Z Selection of Candidates in the Absence of a College Entrance Exam Selección de candidatos a la Educación Superior en ausencia de un examen de ingreso Pedroza Zuñiga, Luis Horacio López García, Alma Yadhira Peniche Cetzal, Rubi Surema Nájera Saucedo, Jessica rendimiento escolar examen de ingreso condiciones de admisión evaluación de conocimientos anteriores análisis de regresión academic achievement entrance examination admission requirements prior learning evaluation regression analysis Given the exceptional circumstances of the COVID-19 pandemic and the problems faced in conducting mass student examinations, this article explores alternatives to an in-person exam to select candidates hoping to gain admission to higher education institutions, based on available information about students and their schools. Census-based information on entrance evaluations for six annual cohorts is used to obtain a predictive model that incorporates candidates’ average grades and the historical performance of their schools of origin, measured through EXANI II. The results allow us to identify a model able to correlate to .69 the estimated and actual scores; additional scenarios were proposed with greater levels of prediction (r = .86). A discussion is offered on the implications of using high school grades, in light of their power to predict academic performance in higher education. Ante la situación excepcional causada por la pandemia de COVID-19 y la problemática para hacer evaluaciones masivas del alumnado, este artículo analiza alternativas diferentes al examen presencial para seleccionar a los aspirantes que pretenden ingresar a las Instituciones de Educación Superior, con base en información disponible de los alumnos y sus escuelas. A partir de información censal de evaluaciones de ingreso en seis cohortes anuales, se obtiene un modelo predictivo que incorpora el promedio de calificaciones de los aspirantes y el rendimiento histórico de sus escuelas de procedencia, medido a través del EXANI II. Los resultados permiten identificar un modelo que correlaciona en .69 el puntaje estimado con el real; además, se plantean escenarios con niveles de predicción mayores (R = .86). Se discute sobre las implicaciones de utilizar las calificaciones de bachillerato, a la luz del peso que tienen en predecir el desempeño académico durante la educación superior. Universidad Autónoma de Baja California. Instituto de Investigación y Desarrollo Educativo 2022-08-08 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion text/html application/pdf text/xml application/epub+zip https://redie.uabc.mx/redie/article/view/4611 10.24320/redie.2022.24.e14.4611 Revista Electrónica de Investigación Educativa; Vol. 24 (2022); 1-15 Revista Electrónica de Investigación Educativa; Vol. 24 (2022); 1-15 1607-4041 spa https://redie.uabc.mx/redie/article/view/4611/2221 https://redie.uabc.mx/redie/article/view/4611/2222 https://redie.uabc.mx/redie/article/view/4611/2282 https://redie.uabc.mx/redie/article/view/4611/2268 Derechos de autor 2022 Luis Horacio Pedroza Zuñiga, Alma Yadhira López García, Rubi Surema Peniche Cetzal, Jessica Nájera Saucedo https://creativecommons.org/licenses/by-nc/4.0
institution REDIE
collection OJS
language spa
format Online
author Pedroza Zuñiga, Luis Horacio
López García, Alma Yadhira
Peniche Cetzal, Rubi Surema
Nájera Saucedo, Jessica
spellingShingle Pedroza Zuñiga, Luis Horacio
López García, Alma Yadhira
Peniche Cetzal, Rubi Surema
Nájera Saucedo, Jessica
Selection of Candidates in the Absence of a College Entrance Exam
author_facet Pedroza Zuñiga, Luis Horacio
López García, Alma Yadhira
Peniche Cetzal, Rubi Surema
Nájera Saucedo, Jessica
author_sort Pedroza Zuñiga, Luis Horacio
title Selection of Candidates in the Absence of a College Entrance Exam
title_short Selection of Candidates in the Absence of a College Entrance Exam
title_full Selection of Candidates in the Absence of a College Entrance Exam
title_fullStr Selection of Candidates in the Absence of a College Entrance Exam
title_full_unstemmed Selection of Candidates in the Absence of a College Entrance Exam
title_sort selection of candidates in the absence of a college entrance exam
description Given the exceptional circumstances of the COVID-19 pandemic and the problems faced in conducting mass student examinations, this article explores alternatives to an in-person exam to select candidates hoping to gain admission to higher education institutions, based on available information about students and their schools. Census-based information on entrance evaluations for six annual cohorts is used to obtain a predictive model that incorporates candidates’ average grades and the historical performance of their schools of origin, measured through EXANI II. The results allow us to identify a model able to correlate to .69 the estimated and actual scores; additional scenarios were proposed with greater levels of prediction (r = .86). A discussion is offered on the implications of using high school grades, in light of their power to predict academic performance in higher education.
publisher Universidad Autónoma de Baja California. Instituto de Investigación y Desarrollo Educativo
publishDate 2022
url https://redie.uabc.mx/redie/article/view/4611
_version_ 1798984269682442240

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