Creative EFL Writing as a Means of Intensifying English Writing Skill Acquisition: A Ukrainian Experience
Bibliographic record
Abstract
This article describes a classroom technique for improving the writing skills of EFL university students who have chosen English as their major for pursuing future careers as translators from and into English. The technique in question, designed for a creative writing course aimed at such students, was based on: (a) the combination of process and genre approaches to teaching writing; (b) paying special attention to students’ development of the skills of description, narration, and discussion in creative writing; (c) development the skills of commenting and critique; (e) emphasizing peer-reviewing, peer-commenting, and peer-evaluating students’ written works in the course; (e) and ensuring learners’ autonomy in writing by introducing free-choice writing. This technique allowed students to achieve dramatic improvement in their writing skills. The article describes how its introduction not only intensifies students’ development, but also generates positive motivation for writing in English as a foreign language.
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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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.043 | 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".