Knowing, acting and becoming: Australian students’ curriculum-specific learning through a New Colombo Plan short-term mobility program to Japan
Bibliographic record
Abstract
Embedding learning abroad as part of the curriculum has become popular in Australia, Canada, New Zealand, the US and European countries. In Australia, the government has actively promoted and committed to funding students’ learning abroad in the Indo-Pacific region which is considered to be strategic to the nation's prosperity and public diplomacy. The majority of the literature on outbound student mobility has concentrated on its benefits to students’ development of global competence and employability. However, little is known about how students are engaged in curriculum-specific learning and development of discipline-specific knowledge through short-term mobility experiences. This article responds to this gap in the existing literature. It aims to examine how a short-term mobility program to Japan affects Australian undergraduate students’ curriculum-specific learning. The article draws on 45 interviews with science students across three rounds (pre-departure, in-country, and re-entry). It uses Barnett and Coate's framework of curriculum and Tran's concept of mobility as becoming to analyse whether and how the short-term mobility program engages students in their knowing, acting and becoming whereby they are able to construct, organise and build on what they know and can do to arrive at new knowledge, skills and ways of being/becoming. Based on the findings of the study, we discuss implications for how learning abroad in the Indo-Pacific can potentially enhance Australian students’ deep and meaningful learning in not only cultural and social but also academic aspects. Practical principles for optimising students’ curriculum-specific learning through short-term mobility programs are generated.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".