Malaysian ESL Students’ Syntactic Accuracy in the Usage of English Modal Verbs in Argumentative Writing
Bibliographic record
Abstract
This research studied the use of modals in argumentative written tasks by Form 5 Malaysian secondary school ESL students. The aim of this study was to examine the use of English modals at the syntactic level from data presented in the MCSAW Corpus. The research design comprised a qualitative technique through discourse analysis aided by descriptive statistics from a concordance, which was utilized to identify the modal verbs used by the Form 5 level in Malaysian schools. The research findings showed that Malaysian students had little problem using modal verbs grammatically in argumentative writing. It was also found that Malaysian students preferred to use a lot of modals in their writings. However, the use of these modals was limited to a few words only. It was concluded that despite the inaccuracies in terms of meanings, most students were able to use syntactically accurate modals in their sentences. Several recommendations are proposed with the aim of improving the teaching of modal verbs in Malaysian schools.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".