Strategies for Teacher Education Programs to Support Indigenous Teacher Employment and Retention in Schools
Bibliographic record
Abstract
This article seeks to contribute to the knowledge base regarding efforts to increase the supply of employed Indigenous teachers. In addition to supporting the learning and well-being of Indigenous students, increasing Indigenous teachers is critical for remote Indigenous communities with chronically understaffed schools. This study was conducted as a scoping review of 50 Teacher Education Programs (TEPs) across Canada, Australia, New Zealand, and the United States that have enacted efforts to increase Indigenous teachers. The study found a range of effective strategies, and this article will depict three strategies that can be enacted by TEPs to support Indigenous teacher graduates as they transition to employment. The strategies are: (1) creating employment opportunities, (2) identifying community needs and collaborating over practicum placements, and (3) providing ongoing support. The article concludes with a call for collaboration, funding, and data collection for the continued evaluation and improvement of strategies to increase Indigenous teachers. Keywords: teacher retention, teacher support, teacher employment, Indigenous teacher education, job transition, Indigenous teachers, Indigenous education, teacher education programs
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".