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Predicting university enrollment choices in Italy

A machine learning analysis of high school background and gender differences

Bibliographic Data

ID21324955
AuthorsAndrea Priulla (0000-0001-5512-6741, Università degli Studi di Enna Kore, corresponding author), Alessandro Albano (0000-0002-4259-0710, University of Palermo), Nicoletta D’Angelo (0000-0002-8878-5986), Massimo Attanasio (0000-0003-2684-5530, University of Palermo)
Year2026
Volume91
Issue2
Pages409-431
Publication date2026-02-01
Open AccessYes
TypeARTICLE
VenueHigher Education (JOURNAL)
Journal identifiersISSN: 0018-1560 • E-ISSN: 1573-174X
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s10734-025-01424-0
OpenAlexW4408174651
LanguageEN
Citations received2
References cited44

Economic growth · Economics · Higher education · Machine learning · Mathematics education · Trend analysis · Computer Science · Innovation Policy and RD · Intergenerational and Educational Inequality Studies · Labor market dynamics and wage inequality · Psychology

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Citations per year2
Citation span2025 - 2026 (2)
Highly citedNo

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