Pragmatic Comprehension Development through Telecollaboration
Bibliographic record
Abstract
Pragmatic comprehension can be ideally developed through contact with target language speakers. This contact can be provided in English as Foreign Language contexts through telecollaboration. To test the actual effect of telecollaboration on the development of pragmatic comprehension, 30 Iranian undergraduates of English as a Foreign Language participated in an experimental study. The participants were divided into two groups of 15 students: control group which merely received pragmatic instructions and experimental group which had the opportunity to interact with target language speakers through internet-mediated communication tools besides receiving pragmatic instructions. The data were collected through a multiple choice pragmatic comprehension test, following a semester-long intervention. The comparison of the performance of the two groups assessed through the independent-samples t-test showed the significant positive effect of telecollaboration on the development of pragmatic comprehension. Pedagogical implications of the findings suggested organizing telecollaborative partnership environments to link English as Foreign Language students with university students in native English speaking countries.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.005 | 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 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".