Upholding the Malay Language and Strengthening the English Language Policy: An Education Reform
Bibliographic record
Abstract
Today’s global economy and dependency on technology has led to educational reforms in Malaysia, which includes language policies; namely the Upholding the Malay Language, and Strengthening the English Language (MBMMBI) policy. This policy underpins the project presented and discussed in this paper; on the development of a bilingual education and assessment framework for higher education providers (HEP). This paper discusses the analysis of documents on the language planning and its implementation policies at three HEPs; namely Universiti Kebangsaan Malaysia (UKM), Universtiti Teknologi Mara (UiTM) and Universiti Kuala Lumpur (UniKL) as well as the Malaysian Education Blueprint 2013-2025. Findings of the comparative analysis indicate that each university interprets bilingual policy differently thus implement it differently which in return resulted in different language abilities among their graduates. This also implies the vital need for a clear framework on bilingual education as well as its assessment in order for the education reform to be successful in its aim to strengthen the English language competency and at the same time uphold the Malay language among its nation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".