The contribution compares student mobility trajectories in higher education before and during the COVID-19 pandemic, focusing on a regional perspective. Italy is used as a case study, which is characterised by persistent territorial inequalities, with traditional one-way mobility trajectories from Southern regions towards Northern and Central areas. Drawing on cohort data from the Italian Student National Archive, complex network data structures are extracted and analysed through community detection algorithms and regression models to reveal how the pandemic has shifted internal mobility flows, thereby altering long-established patterns. The main findings highlight a change in internal student mobility during the pandemic. Specifically, Northern universities maintained strong attractiveness nationwide, though slightly less than before the pandemic. The analysis also uncovers new mobility patterns towards the Central regions, reflecting the emergence of new educational routes. Furthermore, the persistent attractiveness of STEM programmes is confirmed.

Genova, V.G., Vitale, M.P., Giordano, G., Ragozini, G. (2025). Exploring Student Mobility Trajectories in Higher Education During the COVID-19 Pandemic. In A. D'Ambrosio, M. De Rooij, K. De Roover, C. CIorio, M. La Rocca (a cura di), Supervised and Unsupervised Statistical Data Analysis (pp. 180-191). Springer [10.1007/978-3-032-03042-9_16].

Exploring Student Mobility Trajectories in Higher Education During the COVID-19 Pandemic

Genova, Vincenzo Giuseppe
;
2025-09-07

Abstract

The contribution compares student mobility trajectories in higher education before and during the COVID-19 pandemic, focusing on a regional perspective. Italy is used as a case study, which is characterised by persistent territorial inequalities, with traditional one-way mobility trajectories from Southern regions towards Northern and Central areas. Drawing on cohort data from the Italian Student National Archive, complex network data structures are extracted and analysed through community detection algorithms and regression models to reveal how the pandemic has shifted internal mobility flows, thereby altering long-established patterns. The main findings highlight a change in internal student mobility during the pandemic. Specifically, Northern universities maintained strong attractiveness nationwide, though slightly less than before the pandemic. The analysis also uncovers new mobility patterns towards the Central regions, reflecting the emergence of new educational routes. Furthermore, the persistent attractiveness of STEM programmes is confirmed.
7-set-2025
9783032030412
9783032030429
Genova, V.G., Vitale, M.P., Giordano, G., Ragozini, G. (2025). Exploring Student Mobility Trajectories in Higher Education During the COVID-19 Pandemic. In A. D'Ambrosio, M. De Rooij, K. De Roover, C. CIorio, M. La Rocca (a cura di), Supervised and Unsupervised Statistical Data Analysis (pp. 180-191). Springer [10.1007/978-3-032-03042-9_16].
File in questo prodotto:
File Dimensione Formato  
cladag 2025.pdf

Solo gestori archvio

Tipologia: Versione Editoriale
Dimensione 1.94 MB
Formato Adobe PDF
1.94 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/689223
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact