This study examines the role of school-level resources in shaping achievement gaps between students with and without a migration background in early upper secondary education in Italy. It distinguishes between second-generation and newly arrived migrant students, exploring how educational resources may mitigate disparities in academic performance across migration backgrounds. Using a unique longitudinal dataset that merges PISA school-level information with INVALSI student-level data from Grades 8 and 10, the study addresses a key limitation of previous research by controlling for students’ prior performance, enabling a more reliable evaluation of how migration-related gaps unfold over academic trajectories. The analysis employs multilevel modelling to account for variations in school resources, including average student socioeconomic background, material and human resources. The results indicate that in better-resourced schools—particularly those with stronger material resources—students with an immigrant background, and newly arrived students in particular, tend to exhibit lower reading and mathematics competencies relative to their non-migrant peers, net of prior academic achievement. These findings suggest that resource-rich contexts do not necessarily equalise learning opportunities and may, in some cases, exacerbate existing disparities. Overall, the study advances research on migration and educational inequality by demonstrating how school contexts contribute to the persistence or widening of achievement gaps by migration background.

Bridging or Widening the Gap? High School Resources and Achievement Gaps Across Migration Backgrounds in Italy / E. Sbalchiero, E.F. - In: Educational Integration of Refugees and Newly Arrived Immigrants : Institutional Contexts and Their Relevance / [a cura di] O. Winkler, M. Olczyk. - [s.l] : Springer, 2026 Jun. - ISBN 9783032253453. - pp. 193-224 [10.1007/978-3-032-25346-0_9]

Bridging or Widening the Gap? High School Resources and Achievement Gaps Across Migration Backgrounds in Italy

E. Sbalchiero
Primo
Conceptualization
;
E. Fedeli
Secondo
;
M. Triventi
Ultimo
2026

Abstract

This study examines the role of school-level resources in shaping achievement gaps between students with and without a migration background in early upper secondary education in Italy. It distinguishes between second-generation and newly arrived migrant students, exploring how educational resources may mitigate disparities in academic performance across migration backgrounds. Using a unique longitudinal dataset that merges PISA school-level information with INVALSI student-level data from Grades 8 and 10, the study addresses a key limitation of previous research by controlling for students’ prior performance, enabling a more reliable evaluation of how migration-related gaps unfold over academic trajectories. The analysis employs multilevel modelling to account for variations in school resources, including average student socioeconomic background, material and human resources. The results indicate that in better-resourced schools—particularly those with stronger material resources—students with an immigrant background, and newly arrived students in particular, tend to exhibit lower reading and mathematics competencies relative to their non-migrant peers, net of prior academic achievement. These findings suggest that resource-rich contexts do not necessarily equalise learning opportunities and may, in some cases, exacerbate existing disparities. Overall, the study advances research on migration and educational inequality by demonstrating how school contexts contribute to the persistence or widening of achievement gaps by migration background.
Educational inequalities; Academic achievement; Migration background; School resources
Settore GSPS-05/A - Sociologia generale
   Education policies that work: A context-sensitive ‘big data’ approach (EDUPOL)
   EDUPOL
   EUROPEAN COMMISSION
   101086663
giu-2026
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1274518
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