Dynamic assessment of multilingual children's word learning
Notice bibliographique
Résumé
BACKGROUND: Teachers and clinicians may struggle to provide early identification to support multilingual children's language development. Dynamic assessments are a promising approach to identify and support children's language development. AIMS: We developed and studied a novel word learning task that is dynamic and language neutral. It makes use of multilingual children's abilities to apply language transfer, fast mapping and socially embedded language to the learning of new words. METHODS & PROCEDURES: A total of 26 children attending kindergarten in French participated in this study. Within this group, 13 different home languages were spoken. Children took part in a dynamic assessment task of their word learning that consisted of a test-teach-retest task. Children's scores on this task were compared with their language abilities reported by their parents, amount of language exposure and scores on standardized tests of vocabulary. All tasks were delivered in French. OUTCOMES & RESULTS: Children had higher accuracy for known words as compared with new words in the task, which may suggest transfer of knowledge from their first language. They also showed increased accuracy in identifying and naming the new words across the three trials, suggesting fast mapping of these new vocabulary items. Finally, the scores on the dynamic task correlated to children's vocabulary scores on the standardized tests, but not parent report of language development, or the amount of exposure to the language of school. CONCLUSIONS & IMPLICATIONS: This novel dynamic assessment task taps into the process of vocabulary learning, but is less influenced by prior language knowledge. Together, these findings provide insight into early word learning by young multilingual children and proposes a conceptual model for identifying strategies to support second language acquisition. WHAT THIS PAPER ADDS: What is already known on the subject Many barriers exist with regards to assessing the language abilities of multilingual children when a clinician aims to assess their language abilities in both languages. An alternative approach is to measure children's language processing abilities. What this paper adds to existing knowledge A novel dynamic and multilingual task was developed and implemented in this study. This task builds on children's word learning abilities that include cross-language transfer, fast-mapping, and socially imbedded learning. This multilingual task was found to tap into vocabulary learning but was not influenced by prior language knowledge. What are the potential or actual clinical implications of this work? Applying a task that focuses on language processing abilities is a promising strategy to capture language abilities in multilingual children. In addition, the dynamic nature of this tasks allows a clinician to identify scaffolding strategies that best support children's word learning.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».