Factors Affecting Adaptability of International Students in Malaysia during COVID-19 Pandemic
Bibliographic record
Abstract
It is crucial to investigate adaptability in the context of COVID-19, as evidence suggests that difficulties posed by adaptability can be exacerbated during times of crisis. International students encounter additional pressures during this period, which might impair their capacity to stay and prosper in a new place. In light of this context, the purpose of this study is to examine the factors that contribute to the adaptability of international university students in Malaysia, namely the academic system, acculturation, and social support. A cross-sectional research design was used, and the research instruments were adapted from a number of previous studies. A total of one hundred thirty online questionnaires were filled out by international students in Malaysia. The research hypotheses were evaluated using SPSS Version 27.0. All predictors were found to have a statistically significant and positive effect on the adaptability of international students. This research aims to shed light on educational management strategies for addressing the adaptability challenges faced by most international students within COVID-19 by illuminating the key drivers that influence adaptability.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".