Bringing the Learning Home: Examining the Course-Level Impact of International Professional Experience
Bibliographic record
Abstract
Within an ever-increasing time of globalisation, globalised learning and international mobility, international professional experience can provide a range of opportunities for personal and academic growth. Perhaps unsurprisingly, pre-service teachers commonly attest to the positive impact of international placements. What is less well understood is the impact on the learning and teaching that occurs at the university curriculum level prior to and after an international placement. An emergent aspect of this research and the focus of this paper is the impact of these experiences in terms of what they offer the university teaching and learning context. To gain a further understanding of the extent of these impacts, a set of reflective narratives from 10 pre-service teachers and seven teacher educators were gathered and analysed using inductive, thematic analysis. The findings showed that for pre-service teachers and teacher educators that context both culturally and educationally were paramount. The reflections highlighted the impact on the development of a range of general capabilities for both sets of participants. Additionally, international placement experiences increased levels of reflection for both pre-service teachers and teacher educators, which led to further understanding and refining their teacherly identity.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| 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".