Pas de texte intégral
Communication orale non publiée/Abstract (Colloques, congrès, conférences scientifiques et actes)
Hot off the statistics lab: First in-depth analyses of Luxembourg secondary school students’ basic reading competencies
KRÄMER, Charlotte; BRAUN, Cecile; WETH, Constanze et al.
2024LuxERA conference 2024
Peer reviewed
 

Documents


Texte intégral
Aucun document disponible.

Envoyer vers



Détails



Mots-clés :
national school monitoring programme; secondary school; assessing basic reading and math competencies; Enseignement Secondaire Générale – Voie de Préparatinational school monitoring programme; Cognitive Diagnostic Models
Résumé :
[en] Test results of the national school monitoring programme Épreuves Standardisées (ÉpStan) reveal a very low level of reading competency for the majority of 5e students (9th graders) attending the Enseignement Secondaire Générale – Voie de Préparation (ESG-VP) school track. As a matter of fact, in 2023, the majority of ESG-VP students could not master ÉpStan Niveau 1 in reading comprehension (80% in German, 72% in French; cf. https://dashboard.epstan.lu), meaning that they struggle to read simple and short texts (MENFP 2008; Sonnleitner et al. 2018). Thus, most of ÉpStan reading tasks are highly challenging for ESG-VP students, which leads to the following research question: how to better adapt a curriculum-anchored reading test to better reflect the German and French reading abilities of students attending this particular track? In the current pilot-study, we would like to put a spotlight on ESG-VP students’ reading performances by extending and adapting the ÉpStan reading comprehension tests in both languages on the lower end of the competency scale. In the first part of our presentation, we will give insights into how we defined three distinct levels of basic reading competency for German and French, supported by an in-depth linguistic analysis on items with differing theoretical and empirical difficulty levels. In the second part, we will show how we applied Diagnostic Classification Models (DCM, cf. von Davier & Lee, 2019), in order to cognitively differentiate between several groups of readers with varying degrees of reading competency. The conclusion will be dedicated to reflections on how we could report our findings back to the students in the future. Preliminary results are promising: in both languages, we find empirical evidence for three distinct difficulty levels of basic reading competencies.
Centre de recherche :
Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Luxembourg Centre for Educational Testing (LUCET)
Disciplines :
Education & enseignement
Auteur, co-auteur :
KRÄMER, Charlotte ;  University of Luxembourg
BRAUN, Cecile ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > LUCET
WETH, Constanze  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Humanities (DHUM) > Multilingualism
SONNLEITNER, Philipp  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > LUCET
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Hot off the statistics lab: First in-depth analyses of Luxembourg secondary school students’ basic reading competencies
Date de publication/diffusion :
06 novembre 2024
Nom de la manifestation :
LuxERA conference 2024
Organisateur de la manifestation :
Luxembourg Educational Research Association (LuxERA)
Lieu de la manifestation :
Esch/Belval, Luxembourg
Date de la manifestation :
6th & 7th of November
Manifestation à portée :
International
Peer reviewed :
Peer reviewed
Focus Area :
Migration and Inclusive Societies
Objectif de développement durable (ODD) :
4. Education de qualité
Disponible sur ORBilu :
depuis le 11 novembre 2024

Statistiques


Nombre de vues
92 (dont 8 Unilu)
Nombre de téléchargements
0 (dont 0 Unilu)

Bibliographie


Publications similaires



Contacter ORBilu