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Record W42683917

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

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

Bibliographic record

VenueQueensland's institutional digital repository (The University of Queensland) · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicEFL/ESL Teaching and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPracticumWorkforceContext (archaeology)MulticulturalismPedagogySociologyPolitical scienceGeography
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0170.005
Scholarly communication0.0070.007
Open science0.0030.018
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.247
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2009
Admission routes1
Has abstractyes

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