Moving Beyond Individual Peer Review Tasks: A Collaborative Written Corrective Feedback Framework
Bibliographic record
Abstract
English as an additional language (EAL) teachers include peer feedback activities during the writing process to foster autonomy amongst EAL writers and support target language development. Research has demonstrated the importance of providing peer feedback training to learners in order to improve the efficacy of peer revision (Rahimi, 2013). Peer feedback review activities, however, are often individual tasks despite the evidence that collaborative writing activities are essential for EAL learners (Wigglesworth & Storch, 2012). This classroom practice article introduces a threefold pedagogical training designed for English for academic purposes (EAP) learners which combines individual and collaborative peer review activities. The proposed peer collaborative written corrective feedback framework (C-WCF) scaffolds novice academic writers through the peer review process while emphasizing collaborative learning.
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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 | 0.015 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.009 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".