Internationalization of Canadian Teacher Education: Teacher Candidates’ Experiences and Perspectives
Bibliographic record
Abstract
Purpose: Informed by social imaginary, Canadian exceptionalism, and social inclusion, this study explores how teacher candidates experience and interpret internationalization at home at one university in Canada. Design/Approach/Methods: Data were collected from three sources: (a) policy analyses of public documents related to internationalization in Canada and at the university; (b) a student survey on the internationalization of higher education; and (c) individual interviews with 12 teacher candidates. Eight interviewees were local, four White and four racialized minorities, and four were international. Findings: Findings indicate that most participants relate internationalization to student mobility. They present the Canadian society and themselves as open, tolerant, and accepting. Such an imaginary of Canadian exceptionalism does not necessarily coincide with everyday realities of international and racialized teacher candidates. They reported that they experienced Eurocentric curricula, different forms of exclusion, and racism. Some participants enacted agency to disrupt the dominance of White perspectives. Originality/Value: This research addresses knowledge gaps related to internationalization policy as teacher candidates’ voices are not often heard in internationalization initiatives. The study suggests that the internationalization of teacher education requires decolonization of curriculum, bridging with anti-racism education, and the internationalization of teacher educators.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.030 | 0.008 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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, 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".