A Case Study of Bilingual and Monolingual Educators in Two Australian Early Childhood Settings
Bibliographic record
Abstract
One quarter of the Australian population is born overseas and one in five Australians speak a language other than English (ABS, 2016). This has led to an increase in the number of bilingual children enrolled in early childhood settings. Despite this changing landscape there is a lack of support for bilingual children enrolled in early childhood settings as many children do not receive any assistance to maintain their home language. This study examined the understanding and perceptions of two monolingual and two bilingual early childhood educators in NSW on how to best support bilingual children. Four early childhood educators (two monolingual and two bilingual) from two different Early Childhood Centres in Australia were interviewed and asked about their knowledge and beliefs regarding bilingualism. Results showed bilingual educators to be more positive and knowledgeable about bilingualism. All educators acknowledged challenges of not being able to communicate with children and their families as they did not speak any English. Participants in this study appeared to have limited knowledge of the nature of bilingualism and had varying beliefs around how to best support bilingual children. The results showed an inherent lack of differentiation with respect to educators approach to pedagogy when teaching bilingual children. Implications for professional development and practice are discussed.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.020 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".