Risky decline? Exploring the determinants of pupil's proficiency development over time

The early identification of at-risk students and of factors influencing proficiency development are crucial in education policy. This study investigates how students' fluctuations in academic performance during primary school impact the probability of being at-risk in Mathematics and Reading by the end of lower secondary school. Leveraging longitudinal data from 278,765 students in Italy, this study employs a multilevel multinomial model with Markov chain Monte Carlo (MCMC) techniques to explore personal, class, and school-related factors steering shifts between proficiency and non-proficiency. Findings highlight the importance of these transitions in predicting at-risk students at grade 8, emphasizing the role of peers' academic achievements and the variation across schools in shaping proficiency development. • Improved primary school performance reduces risk in math and reading by grade 8. • Early academic transitions are key predictors of later at-risk status. • High-achieving peers significantly boost individual student proficiency. • Proficiency development varies greatly across different schools.

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Publication Details

Journal
Socio-Economic Planning Sciences
Published
2025-03-20
DOI
https://doi.org/10.1016/j.seps.2025.102207
Primary Topic
Early Childhood Education and Development
Type
article
Field-Weighted Citation Impact
0.00
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article

Risky decline? Exploring the determinants of pupil's proficiency development over time

Chiara Masci, Melisa Diaz Lema, Mara Soncin, Tommaso Agasisti
Socio-Economic Planning Sciences
Early Childhood Education and Development
article

Risky decline? Exploring the determinants of pupil's proficiency development over time

Chiara Masci, Melisa Diaz Lema, Mara Soncin, Tommaso Agasisti
article en

Abstract

The early identification of at-risk students and of factors influencing proficiency development are crucial in education policy. This study investigates how students' fluctuations in academic performance during primary school impact the probability of being at-risk in Mathematics and Reading by the end of lower secondary school. Leveraging longitudinal data from 278,765 students in Italy, this study employs a multilevel multinomial model with Markov chain Monte Carlo (MCMC) techniques to explore personal, class, and school-related factors steering shifts between proficiency and non-proficiency. Findings highlight the importance of these transitions in predicting at-risk students at grade 8, emphasizing the role of peers' academic achievements and the variation across schools in shaping proficiency development. • Improved primary school performance reduces risk in math and reading by grade 8. • Early academic transitions are key predictors of later at-risk status. • High-achieving peers significantly boost individual student proficiency. • Proficiency development varies greatly across different schools.

Socio-Economic Planning SciencesVol. 99
University of Milan (IT), Politecnico di Milano (IT)
Quality Education
Openalex Percentile: Top 95%
Early Childhood Education and Development
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