Collaborative Syntactic Priming Activities and EFL Learners’ Production of <i>Wh</i>-questions
Bibliographic record
Abstract
Syntactic priming is the tendency for a speaker to produce a structure that was encountered in recent discourse and is measured by calculating how frequently speakers use the modelled structures as opposed to alternatives. Recent lab-based studies have shown that carrying out syntactic priming activities with trained interlocutors positively affects Thai EFL learners’ subsequent production of wh-questions. The current study explores whether carrying out priming activities with peers in a classroom context also facilitates subsequent production. In their integrated skills English course, Thai EFL learners (N = 42) either completed collaborative syntactic priming activities or followed the regular curriculum. Analysis of post-test data indicated that learners who carried out the priming activities subsequently produced significantly more wh-questions with supplied auxiliary verbs than learners who followed the regular curriculum. Pedagogical considerations for the use of collaborative syntactic priming activities in L2 classrooms are discussed.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".