Diverse Teachers for Diverse Students: Internationally Educated and Canadian-Born Teachers' Preparedness to Teach English Language Learners.
Bibliographic record
Abstract
This article describes a study that examines Canadian-born and internationally educated teachers’ (IETs’) self-perceived preparedness to teach English language learners (ELLs). The study employed a survey and interviews to examine teacher candidates’: (a) level of empathy with ELLs, (b) sense of preparedness to teach ELLs, and (c) beliefs about their roles and responsibilities in multilingual classrooms. The study also explores the impact of teacher preparation to teach in multilingual classrooms. Findings suggest that IETs have a higher selfperceived empathy towards ELLs due to their shared backgrounds but personal experiences and empathy are insufficient for providing support and targeted instruction for ELLs. All teachers, regardless of their backgrounds, require appropriate preparation to address the needs of ELLs. Keywords: diversity, ELLs, multilingual classrooms, internationally educated teachers, preparedness
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How this classification was reachedexpand
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".