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The bridge from teacher preparation to beginning teacher: Helping NESB beginning teachers enter a community of teaching practice

2009· article· en· W42683917 sur OpenAlexaboutno aff
Kerryn McCluskey

Notice bibliographique

RevueQueensland's institutional digital repository (The University of Queensland) · 2009
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueEFL/ESL Teaching and Learning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPracticumWorkforceContext (archaeology)MulticulturalismPedagogySociologyPolitical scienceGeography
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Australia is a multicultural country. In the ten years to November 2007, there were 647,000 migrants who entered Australia (Australian Bureau of Statistics, 2008). Of these migrants 76% were born in countries other than those identified by the Australian Bureau of Statistics(ABS, 2008) as main English speaking countries (the United Kingdom, The United States of America, Canada, Ireland, New Zealand and South Africa) (ABS, 2008). The composition of the teaching workforce in Australia reflects this multiculturalism. Communities of practice(Lave & Wenger, 1991; Wenger, 1997) provide a clear and logical space for assisting those who are from a non-dominant culture to transition into and develop knowledge and identities within a workplace. Little research has been conducted into teachers of a non-English speaking background (NESB) teaching in an English speaking context. While some research related to overseas-trained teachers working in Australia (see for example Kamler, Santoro & Reid, 1998; Seah & Bishop, 2001), and NESB pre-service teachers during their practicum in Australia (see for example, Han, 2005; Han & Singh, 2007; Hartley, 2003) has been carried out there is little evidence of research into beginning NESB teachers who qualified as teachers through universities in Australia. This paper focuses on this specific group of beginning teachers. Social interaction in the community of practice provides opportunity for the sharing of tacit knowledge between established members and those who are new to that community of practice. It also allows for new members to develop their practice. Therefore, the sociocultural theoretical framework of communities of practice was used to determine the positioning of new members of the teaching profession, specifically those of non-English speaking backgrounds, in their respective communities of practice. This paper presents outcomes from a qualitative study involving beginning teachers from non-English speaking backgrounds which investigated the positioning of these teachers with respect to their communities of teaching practice. The teachers in the study were prepared as teachers in an Australian university. Participants’ accounts were collected through focus groups, interviews and electronic diaries. These accounts generated the data used in the study. The major theme of interaction emerged as the acroproposition in the data. Five sub-themes were identified as recurring across the accounts: skin colour, appearance, worldliness, conversational participation and acceptance. Each of these sub-themes affected the interactions of the beginning teachers with their colleagues. The accounts were interrogated using critical discourse analysis adapted from van Dijk (2001) and Titscher, Meyer, Wodak and Vetter (2000). Critical discourse analysis was supported by positioning theory in the analysis of the data (Davies& Harre, 1990). The positioning of the beginning teachers either by themselves or by others impacts on the provision of access to the professional learning opportunities through their communities of teaching practice. In many cases, this positioning was found to be at the edge of the community of practice. The implications that emerged from the research impact not only the workplace (school environments) but also the teacher preparation programs. In both instances the need for provision of opportunities for beginning teachers of a non-English speaking background to develop confidence in interacting with established members of communities of teaching practice in which they are professionally located must be made. This can begin at the university stage during the teacher preparation program.

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)0,007
score de la tête « metaresearch » (Gemma)0,013
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 enseignants0,017
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,013
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0170,005
Communication savante0,0070,007
Science ouverte0,0030,018
Intégrité de la recherche0,0040,007
Charge utile insuffisante (le modèle a refusé de juger)0,0060,002

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 Opus0,022
Tête enseignante GPT0,247
Écart entre enseignants0,226 · 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

Citations3
Publié2009
Routes d'admission1
Résumé présentoui

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