Chinese Secondary EFL Learners’ and Teachers’ Preferences for Types of Written Corrective Feedback
Bibliographic record
Abstract
How learners perceive written corrective feedback (CF) associates with its effectiveness in language learning. This research investigates students’ preferences for three types of written CF, i.e., direct, indirect and metalinguistic written CF, and explores the factors that encourage the teachers to employ these CFs in teaching practice. The findings include: (1) indirect written CF is preferred by most Chinese secondary EFL learners and there exist significant differences among their preferences, (2) gender difference significantly influences learners’ preference for metalinguistic written CF and proficiency differences significantly influence their preference for indirect written CF, (3) indirect written CF is most commonly used by the teachers of secondary levels and (4) there are no significant differences between learners’ preferences and teachers’ practice in Chinese secondary schools. This research thus presents a new acquaintance with learners’ preferences and teachers’ justification for their execution.
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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 | 0.001 |
| 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".