Literacy Encounters in a Non-Anglophone Context: Korean Study Abroad Students in a Malaysian Classroom
Bibliographic record
Abstract
The rapid proliferation of study abroad and transnational programmes have witnessed increasing student mobility within the Southeast Asian region that has thrust many learners into new learning environments and cultures. These students come with their own academic literacy practices built on experiences in their home countries and have to quickly shift to a new academic culture in the host country. This research highlights that it is erroneous to assume that academic culture and practices are the same across the region by investigating how Korean study abroad students are navigating their literacy practices in a Malaysian tertiary classroom. Data was collected using interviews, student literacy logs and researcher field notes over fourteen weeks. Findings show that these students were unprepared to deal with the new environment and resorted to literacy practices that they were comfortable with and useful in their home country’s academic culture. This implies that it is important to identify what is similar and different in the two learning environments to help study abroad students adjust and connect with their new learning context.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".