Teacher feedback produced larger first-task score gains that dropped 32.8% by the second task, while AI-assisted peer feedback gains remained stable (a learning-curve effect)¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
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the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q3 i? Both modes produced significant within-group score gains in each task, but the teacher-feedback gain fell from 4.06 to 2.73 points while the AI-assisted peer feedback gain stayed stable at 3.87 then 3.89 points. → Tang J 2026
Evidence¶
Tang J 2026¶
Tang J, Li P, Luo R (2026) Teacher feedback VS AI-assisted peer feedback in L2 writing: A quasi-experimental study in a Chinese University. PLoS One 21(6): e0345976. https://doi.org/10.1371/journal.pone.0345976
q3 · i? · causal · r2
Repeated-measures score data from the 8-week quasi-experiment (control n = 31, experimental n = 30) on iWrite 2.0 scores. Between-group gain comparisons were non-significant (first task d = −0.037; second task d = 0.294); the experimental class ultimately "surpassing the average score of the control class" in task 2.
"After the first writing task, the score improvement for the teacher feedback class(4.06 points) was slightly higher than that of the AI-assisted peer feedback class (3.87 points). However, in the second task, the improvement for the teacher feedback class decreased significantly (a drop of 32.8%)"
Discussion¶
Related Claims¶
- AI-assisted peer feedback enhanced lexical diversity only in the first writing task, with the group advantage disappearing by the second task — related
- In the first writing task, teacher feedback contained significantly more items than AI-assisted peer feedback, especially on vocabulary errors and technical details — related
- Neither feedback mode produced differential improvements in syntactic complexity; a general time effect appeared only in the first task — related
- In the 12-week quasi-experiment the experimental group's learning trajectory was significantly steeper than the control group's (group × time β = 0.52, 95% CI 0.31–0.73), with comparable baseline D-scores — related
- AI-generated (GPT-4) feedback produced no greater linguistic progress than human tutor feedback among ENL students over six weeks — related
- Feedback source (human tutor vs GPT-4) had no significant effect on ENL students' posttest writing scores — related
- Only six reviewed studies combined peer feedback with feedback from other sources — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
writing-score-trajectories-feedback-modes |
title |
Teacher feedback produced larger first-task score gains that dropped 32.8% by the second task, while AI-assisted peer feedback gains remained stable (a learning-curve effect) |
description |
Teacher feedback produced larger first-task score gains that dropped 32.8% by the second task, while AI-assisted peer feedback gains remained stable (a learning-curve effect) |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — tang-j-2026 |
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