Ongoing technological change has led to a steadily growing demand for Science, Technology, Engineering and Mathematics (STEM) graduates worldwide. But not only do STEM disciplines have a low attractiveness in some contexts, such as in the US and Italy; it is also a matter of persistence of pursuing STEM studies, affected by high rates of dropout and course switches in several countries. Using administrative microdata from the Italian Ministry for Universities and Research and selecting students enrolled in a STEM discipline between 2010 and 2015, our objective is twofold: understanding which distinct patterns characterise students towards retention, dropout, or switch; investigating to what extent each individual each individual and contextual characteristics predict students' outcome. Identifying at-risk STEM students to dropout/switch is an essential and challenging issue for the delivery of university interventions aiming to reduce failure and dropout rates.

Students enrolled in STEM discipline in Italy: patterns of retention, dropout and switch / Valentina Tocchioni, Carla Galluccio, Maria Francesca Morabito, Alessandra Petrucci. - ELETTRONICO. - (2022), pp. 0-0. (Intervento presentato al convegno 51st Scientific Meeting of the Italian Statistical Society).

Students enrolled in STEM discipline in Italy: patterns of retention, dropout and switch

Valentina Tocchioni
;
Carla Galluccio;Maria Francesca Morabito;Alessandra Petrucci
2022

Abstract

Ongoing technological change has led to a steadily growing demand for Science, Technology, Engineering and Mathematics (STEM) graduates worldwide. But not only do STEM disciplines have a low attractiveness in some contexts, such as in the US and Italy; it is also a matter of persistence of pursuing STEM studies, affected by high rates of dropout and course switches in several countries. Using administrative microdata from the Italian Ministry for Universities and Research and selecting students enrolled in a STEM discipline between 2010 and 2015, our objective is twofold: understanding which distinct patterns characterise students towards retention, dropout, or switch; investigating to what extent each individual each individual and contextual characteristics predict students' outcome. Identifying at-risk STEM students to dropout/switch is an essential and challenging issue for the delivery of university interventions aiming to reduce failure and dropout rates.
2022
Book of the short paper SIS 2022
51st Scientific Meeting of the Italian Statistical Society
Valentina Tocchioni, Carla Galluccio, Maria Francesca Morabito, Alessandra Petrucci
File in questo prodotto:
File Dimensione Formato  
Sis-2022-4c-low.pdf

accesso aperto

Tipologia: Pdf editoriale (Version of record)
Licenza: Creative commons
Dimensione 1.67 MB
Formato Adobe PDF
1.67 MB Adobe PDF

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

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1284477
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact