A comparison of EFL students and instructors’ written feedback preferences and reported practices at a Moroccan university
Bibliographic record
Abstract
This study aimed to investigate university students’ preferences for and reported instructor practices of written feedback (WF) and how these align with instructors’ perceptions and self-reported practices in EFL writing classrooms. An 80-item survey was conducted with 13 instructors and their 210 students at a Moroccan university. The findings revealed that instructors’ perceptions aligned with students’ preferences for judgmental WF on the written text and all process-based WF subscales. However, instructors considered WF modes on the written text more important than students. In terms of practices, instructors reported employing certain WF practices (judgmental WF on the written text, content-based WF related to textuality standards, and macroaspects of writing) more often than students reported. The study emphasizes the importance of aligning classroom WF practices with students’ preferences to enhance writing performance.
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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 | 0.001 |
| 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 | 0.000 |
| 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".