COVID-19 Pandemic Experiences: Cross-Border Voices of International Graduate Students in Australia and America
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The study analyses cross-border experiences of international graduate students in two universities, one in Australia and the other in the United States of America, during the COVID-19 pandemic to understand how this impacted their learning and wellbeing. COVID-19 crisis led to dramatic changes in higher education institutions worldwide, affecting the academic and social life of international students, and as well opening windows of opportunities for them. International students of African and Asian backgrounds were purposely selected for the study. Data were collected with an open-ended qualitative questionnaire and analysed thematically. Findings indicate international students had mixed experiences, including stress and hardship, isolation, fear and insecurity, frustration and helplessness that affected their academic and social lives and wellbeing. Other students however developed strong connections, resilience, confidence, and optimism for the future. The shared cross-border experiences raise awareness to the global impact of COVID-19 in higher education. Findings have implications for how universities could respond to the needs of international students, which must be inclusive, equitable, and human-centric, during unforeseen crises.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it