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Enregistrement W2902281774 · doi:10.25904/1912/2555

The Negotiation of Meaning: Examining Children's Linguistic Repertoires in a Francophone Preschool

2018· dissertation· en· W2902281774 sur OpenAlexaboutno aff
Kelly Ann Shoecraft

Notice bibliographique

RevueGriffith Research Online (Griffith University, Queensland, Australia) · 2018
Typedissertation
Langueen
DomaineArts and Humanities
ThématiqueEFL/ESL Teaching and Learning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMultilingualismLinguisticsFrenchMeaning (existential)Context (archaeology)PsychologyTagalogNegotiationSociologyPedagogyHistory

Résumé

récupéré en direct d'OpenAlex

Multilingualism and multiculturalism are increasing around the world, and as a result, classrooms are becoming more linguistically and culturally diverse. This dissertation examines how young plurilingual children communicate in one Francophone preschool in British Columbia, Canada. In this province of Canada, French is a minority language with most people speaking English. There are also many other languages present, such as Mandarin, German, Punjabi, and Tagalog. Speakers of these languages are often higher in number than French home language speakers (Statistics Canada, 2016). Therefore, the children at the Francophone preschool are in contact with multiple, diverse languages. The diversity present in this preschool classroom raises questions about how the linguistic resources available to children influence their classroom interactions. The aim of this study was to identify the linguistic resources demonstrated by the children and determine how they utilised these resources to negotiate meaning in classroom interactions – specifically, interactions during child-initiated play. Research has shown that participation in social interactions is necessary for children to develop language and social skills. In addition, play is an important context in which young children communicate and negotiate meaning. Many studies on classroom interactions have focused on educator-child interactions. In contrast, there are limited studies on peer interactions despite research advocating their benefits in children’s development. In a multilingual classroom, children have a choice of language which often depends on the interactants. Despite educators attempting to separate languages, children usually code-switch and draw upon a range of linguistic resources to communicate. These linguistic resources include the use of multimodal language such as gestures, a recent focus of study in the field of second language acquisition. Considering the diverse linguistic and cultural backgrounds of children in preschool classrooms, it is vital to understand how they incorporate multiple linguistic resources in their communications. By understanding children’s use of linguistic resources, we can further understandings of their language learning processes in the classroom. A conceptual framework drawing on sociocultural and interactionist theories was used to explore how young plurilingual children communicate. Within these two theories, language is a social action in which an interaction is co-constructed by the participants. The two concepts of plurilingualism and multimodal language were part of this framework. From this perspective, each child in the study were considered to possess a unique linguistic repertoire consisting of verbal and nonverbal resources. As a participant-observer, I collected data in one preschool classroom over a 3-month period. The primary data source was video recordings from two cameras – a camcorder and a GoPro camera. In addition, I collected field notes, school-related documents, and a questionnaire completed by the children’s parents/guardians. These data contributed background information on the preschool and participants. Interactions occurring during child-initiated play were analysed in order to answer the research questions. I used a computer software program, ATLAS.ti, to assist with the data analysis. The analysed interactions involved 13 children (3- and 4-year-olds), the classroom teacher, the teaching assistant, and me (as the participant-researcher). The findings of the study showed that the children employed multiple resources in their play interactions. They used French spoken resources, English spoken resources and non-verbal actions, as well as translanguaging (French and English) and non-verbal actions combined with spoken language. The children’s choice of linguistic resources related to the interactant, the purpose of the interaction, and their own motivations to exercise agency. Through the use of various linguistic resources, the children practised their interactional and social skills, organised and advanced their own learning through translanguaging and peer teaching, and enacted agency. The children’s use of multiple linguistic resources in play interactions demonstrated their emerging plurilingual competencies. This study has highlighted the importance of educators and researchers considering individual children’s linguistic resources in a holistic manner. By adopting a holistic approach, educators can understand how children’s use of multiple linguistic resources is beneficial to their learning. Researchers can increase understandings of children and their learning processes by considering how children employ their multiple linguistic resources. The findings of this study demonstrate that young children are resourceful, engaged, creative, and agentive in their use of linguistic resources during play interactions. These skills should be considered as plurilingual assets and educators should provide opportunities for children to practise and develop these skills in the classroom.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,364
Score d'incertitude au seuil0,724

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,004
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,001
Études des sciences et des technologies0,0060,004
Communication savante0,0060,002
Science ouverte0,0010,004
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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.

Tête enseignante Opus0,109
Tête enseignante GPT0,347
Écart entre enseignants0,238 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

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