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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; Mussack, Dominic; Brunner, Martin et al.
202012th Conference of the International Test Commission
 

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Disciplines :
Education & instruction
Author, co-author :
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)
External co-authors :
yes
Language :
English
Title :
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
Publication date :
July 2020
Event name :
12th Conference of the International Test Commission
Event organizer :
University of Luxembourg
Event place :
Belval, Luxembourg
Event date :
from 14-07-2020 to 17-07-2020
Audience :
International
FnR Project :
FNR10921377 - Capitalising On Linguistic Diversity In Education, 2015 (15/01/2017-14/07/2023) - Peter Gilles
Available on ORBilu :
since 03 March 2020

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