Grammar and Grammaring: Toward Modes for English Grammar Teaching in China
Bibliographic record
Abstract
<p>The value of grammar instruction in foreign language learning and teaching has been a focus of debate for quite some time, which has resulted in different views on grammar and grammar teaching as well as different teaching approaches based on different perspectives or in different language learning contexts. To explore some modes for grammar teaching in China on the basis of distinguishing grammar and grammaring, this research reviews briefly the current situations of grammar teaching at colleges in China and the various teaching modes adopted in different teaching contexts. Two teaching modes are suggested, linguistic mode and story-telling mode, which may activate inquiry learning and active learning. Linguistic mode, which emphasizes the dual features of grammar learning, is more reasoning-centered than knowledge-centered and is designed from linguistic and academic perspective for advanced learners. Story telling mode, which focuses on smooth communication in different contexts, is more skill-centered than rule-centered and is designed from social and communicative perspective for beginners. Exploring the modes for teaching grammar from linguistic and social perspectives will be a pilot study for inquiring other aspects of grammar teaching as well as for teaching grammar to the learners of other languages.</p>
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| 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".