Academic Adjustment Issues in a Malaysian Research University: The Case of Cambodian, Laotian, Burmese, and Vietnamese Postgraduate Students’ Experiences
Bibliographic record
Abstract
The Malaysian government aims to help the bottom billion countries, which are its neighbouring countries in the South East Asian region, for their human capital development through providing university postgraduate scholarship projects. Those countries include Cambodia, Laos PDR, Burma or Myanmar, and Vietnam (CLMV), which are favourite countries for its technical assistance. Due to the countries’ various educational systems, postgraduate students have experienced some academic difficulties during their studies and research in Malaysian universities. A qualitative research method is employed to investigate students’ living strategies, perception of academic success, and academic adjustment problems in a Malaysian university. Research samples were conducted conveniently selected from a total of 17 students made up of 6 Cambodian, 4 Laotian, 2 Myanmar, and 5 Vietnamese postgraduate students (47, 05% females and 52, 94% males) who have studied in the Universiti Sains Malaysia (USM) so called the Research University in the academic year 2012/2013, where they have attended the schools of educational studies, social science, and materials and mineral resource engineering. The result showed that the most difficult problem in term of academic adjustment which is English language difficulty in their new learning environment. In order to remedy such matters, they must strive to study hard, to improve English proficiency, and to make good relations with their academic staff, thesis supervisors, and other postgraduate students. In other words, social adjustment is considered as one of the important strategies that enable them to cope with the context of Malaysian culture. Based on the findings, the researchers provide recommendations to facilitate CLMV students to make better adjustments in a Malaysian research university and to achieve their academic endeavour.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".