Traditional feedback methods produced only minor writing-error improvement in the control group¶
Claim · All claims
Evidence · 1 study · causalr1·q2
Currency · newest study 2013 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
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.
q2 i? Under traditional error-correction, control-group improvement was minor, with no participant exceeding 8% improvement and a great majority showing less than 1%. → Gulzar et al. 2013
Evidence¶
Gulzar et al. 2013¶
Malik Ajmal Gulzar, Sartaj Fakhar Jilani & Choudhary Zahid Javid. (2013). Constructive Feedback: An Effective Constituent for Eradicating Impediments in Writing Skills. English Language Teaching, 6(8). https://doi.org/10.5539/elt.v6n8p21
q2 · i? · causal · r1
Pre/post-test difference analysis of the 15-student control group (Table 3) taught with traditional feedback; the article states improvement "was quite minor" and that "a great majority of participants did not show even 1% improvement". Descriptive percentages only; no effect size printed.
"it was found that the improvement in the writing errors of the participant was quite minor as it was no more than 8% for one participant and 6% also for one participant"
Discussion¶
Related Claims¶
- Constructive feedback through an error analysis system improves EFL students' writing more than traditional feedback methods — a broader claim this one bears on
- One month of constructive-feedback remedial teaching cut experimental-group writing errors by 52% to 78% per student — reports the opposite
- Across tasks, teacher feedback shifted from basic error correction toward higher-order dimensions while AI-assisted peer feedback reduced content suggestions and increased technical-detail feedback — 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
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