Problematic Approach to English Learning and Teaching: A Case in Indonesia
Bibliographic record
Abstract
This article deals with problematic approach to English learning and teaching due to misleading conception on the nature of English and on the process of acquiring it as well as the clues to the issues. The clues are: Firstly, English is not more difficult than any other languages, including Indonesian language, Bahasa Indonesia (Note 1). Secondly, there are two approaches that need considering in English instruction, grammar free and strict grammar approaches. The former is highly recommended for early age instruction and beginners whereas the latter is recommended for instruction for specific purposes. However the two approaches should collaborate and their applications should be based on needs analysis. Thirdly, Conflicting conception on whether L1 and L2 are the same processes should not deter the strategy of how language is acquired naturally. When proper conception on the nature of English is attained and it is approached properly, English subject is not burdensome and needs not be eliminated from Primary School curriculum, and there is no need to reduce time allotment for the subject in Senior High School as stipulated in Indonesian English curriculum amendment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".