Foreign language teachers’ intercultural competence and legitimacy during an international teaching experience
Bibliographic record
Abstract
Abstract Given the increase in international mobility opportunities for educators, analyzing how the experience of studying and teaching abroad benefits teachers is of utmost importance in a globalized educational system. Using Deardorff’s (2009) model of intercultural competence (IC), this study explores how a group of recently graduated Canadian foreign language teachers benefitted from a four-month international teaching experience (ITE). The following questions guided this investigation: In which ways did the ITE contribute to the participants’ IC development? How did the ITE affect the participants’ professional identity and sense of legitimacy? Data were collected, triangulated, and interpreted using thematic content data analysis. This study provides illustrations of the participants’ IC development across all components on Deardorff’s IC model, showing that properly scaffolded ITEs afforded the participants opportunities to develop their IC. The findings also show that the ITE of living and teaching abroad positively impacted their professional identity and feeling of legitimacy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".