The Effects of Planning on Writing Narrative Task Performance with Low and High EFL Proficiency
Bibliographic record
Abstract
The impetus of the present study was to scrutinize the impact of planning and proficiency on 172 EFL learners’ written task performance regarding concept load, fluency, complexity and accuracy. Planning was operationalized at two levels: pretask planning (PTP) and on- line planning (OLP). Participants of this study were two groups, high and low proficiency learners who were randomly chosen. The first group was required to plan for their performance for 10 minutes and take notes before they performed the tasks, whilst the participants in the second group began writing immediately and took time as long as they like. The participants’ performances were then analyzed utilizing paired samples t-test. The results of statistical analysis showed that low-proficiency learners appear to benefit more from planning time with respect to concept load, fluency, and complexity. On the other hand, high-proficiency learners were advantaged by planning time concerning concept load and accuracy.
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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 | 0.000 |
| 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 | 0.001 |
| 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".