Preparing Pre-service Teachers to Support Children With Refugee Experiences
Bibliographic record
Abstract
Within the Canadian context, there is limited understanding of the attitudes and perspectives of pre-service teachers’ preparedness to support students with refugee experiences. Using a trauma-informed and culturally responsive approach to pedagogy, this study documents the perspectives of 33 pre-service teachers on their preparation to teach students with refugee experiences in one teacher education program in Canada. Results demonstrate that although pre-service teachers recognize the needs of refugee students, they noted that they have few opportunities in their courses or practicums that address how to meet these needs. They identified training in trauma-informed practices, parent communication, and recognizing and understanding students with refugee experiences as gaps in their preparation. Key Words: trauma-informed; pre-service teacher education; teacher education programs; refugee children Dans le contexte canadien, nous connaissons peu sur les attitudes et les perspectives qu’ont les étudiants se destinant à l’enseignement relatives à leur état de préparation pour appuyer les élèves réfugiés. Reposant sur une approche qui tient compte des traumatismes et des réalités culturelles, cette étude fait état des perspectives de 33 étudiants dans un programme de formation des enseignants au Canada quant à leur état de préparation à enseigner à des élèves réfugiés. Les résultats indiquent que si les étudiants se destinant à l’enseignement reconnaissent les besoins des élèves réfugiés, ils constatent que leurs cours et leurs stages leur offrent peu d’occasions d’apprendre comment répondre à ces besoins. Comme lacunes dans leur préparation, les étudiants ont identifié la formation en pratiques tenant compte des traumatismes, la communication avec les parents, ainsi que la reconnaissance et la compréhension de la réalité des réfugiés. Mots clés : qui tient compte des traumatismes; formation des enseignants; programmes de formation des enseignants; enfants réfugiés
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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: yes | Not applicable | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".