| Reference : Can machine learning methods lead to more precise measures of school effectiveness? A... |
| Scientific congresses, symposiums and conference proceedings : Unpublished conference | |||
| Social & behavioral sciences, psychology : Education & instruction | |||
| http://hdl.handle.net/10993/42705 | |||
| 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 | |
| English | |
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) >] | |
| Jul-2020 | |
| Yes | |
| International | |
| 12th Conference of the International Test Commission | |
| from 14-07-2020 to 17-07-2020 | |
| University of Luxembourg | |
| Belval | |
| Luxembourg | |
| http://hdl.handle.net/10993/42705 | |
| FnR ; FNR10921377 > Adelheid Hu > CALIDIE > Capitalising on Linguistic Diversity in Education > 15/01/2017 > 14/07/2023 > 2016 |
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