Innovating in the Margins of Teacher Education: Developing a Bridging Program for Internationally Educated Teachers
Bibliographic record
Abstract
In this article, we discuss our recent and current efforts to offer an innovative form of ongoing teacher education designed explicitly for Internationally Educated Teachers (IETs), which might be considered a type of in-service teacher education. We share some of the observations of IETs who have completed the Faculty of Education’s Bridging Program at the University of Alberta as well as our own experiences. Aspects of the program’s curriculum are described such as its framework including the organization of a bridging seminar and field experiences/practicum. To provide context, we review relevant policies and the limited but valuable research from other Canadian bridging programs for IETs. We conclude with a discussion of the most significant changes we have made to practices at the University of Alberta and address the issue of sustainability. Keywords: Internationally Educated Teachers (IETs); immigrant teachers; foreign-trained teachers; recertification; bridging programs for international teachers; teacher education; professional education; in-service teacher education for international teachers.
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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 | 0.005 | 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 | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".