The Effects of Warm-Up Tasks on the Iranian EFL Students' Writing Ability
Bibliographic record
Abstract
This study aims to investigate the effects of warm up tasks as classroom activities on foreign language written production. For showing these effects, sixty out of one hundred forty Iranian sophomore EFL students from the Islamic Azad University of Lahijan branch, Iran were selected after following the Oxford Placement Test (OPT). Then, they were randomly divided into two groups; the experimental group who received the treatments on warm up tasks, and the control group who received a placebo. Both groups had to write two paragraphs of about 150 words that were considered as their pretests and posttests. The paragraphs were corrected by three experienced raters. Their scores analyzed through SPSS by applying Independent t-test, and Paired sample t-test. The findings revealed that participants in the experimental group, who had received the treatments on warm up tasks, significantly enhanced better performance in a writing test.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".