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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Online |
| Language: | spa |
| Published: |
Universidad Autónoma de Baja California. Instituto de Investigación y Desarrollo Educativo
2022
|
| Online Access: | https://redie.uabc.mx/redie/article/view/4611 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|
@UABCInstitucional
UABC_Oficial
@UABC_Oficial
Tel: +52 686 551 82 00
cienciaabierta@uabc.edu.mx