Communication orale non publiée/Abstract (Colloques, congrès, conférences scientifiques et actes)
Can machine learning methods lead to more precise measures of school effectiveness? An application of various machine learning approaches in the estimation of school value-added scores
LEVY, Jessica ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Luxembourg Centre for Educational Testing (LUCET)
MUSSACK, Dominic ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS)
Brunner, Martin; University of Potsdam
KELLER, Ulrich ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Luxembourg Centre for Educational Testing (LUCET)
CARDOSO-LEITE, Pedro ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS)
FISCHBACH, Antoine ; University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Luxembourg Centre for Educational Testing (LUCET)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Can machine learning methods lead to more precise measures of school effectiveness? An application of various machine learning approaches in the estimation of school value-added scores
Date de publication/diffusion :
juillet 2020
Nom de la manifestation :
12th Conference of the International Test Commission
Organisateur de la manifestation :
University of Luxembourg
Lieu de la manifestation :
Belval, Luxembourg
Date de la manifestation :
from 14-07-2020 to 17-07-2020
Manifestation à portée :
International
Projet FnR :
FNR10921377 - Capitalising On Linguistic Diversity In Education, 2015 (15/01/2017-14/07/2023) - Peter Gilles
