English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present a new method for jointly modelling the students' results in theuniversity's admission exams and their performance in subsequent courses at theuniversity. The case considered involved all the students enrolled at theUniversity of Campinas in 2014 to evening studies programs in educationalbranches related to exact sciences. We collected the number of attempts usedfor passing the university course of geometry and the results of the admissionexams of those students in seven disciplines. The method introduced involved acombination of multivariate generalised linear mixed models (GLMM) andgraphical models for representing the covariance structure of the randomcomponents. The models we used allowed us to discuss the association ofquantities of very different nature. We used Gaussian GLMM for modelling theperformance in the admission exams and a frailty discrete-time Cox proportionalmodel, represented by a GLMM, to describe the number of attempts for passingGeometry.  The analyses were stratified into two populations: the students who receiveda bonus giving advantages in the university's admission process to compensatesocial and racial inequalities and those who did not receive the compensation.The two populations presented different patterns. Using general properties ofgraphical models, we argue that, on the one hand, the predicted performance inthe admission exam of Mathematics could solely be used as a predictor of theperformance in geometry for the students who received the bonus. On the otherhand, the Portuguese admission exam's predicted performance could be used as asingle predictor of the performance in geometry for the students who did notreceive the bonus.

A Multivariate Methodology for Analysing Students' Performance Using Register Data