Claims

In one study, feedback quality significantly predicts revised essay quality under teacher feedback but not under either GenAI feedback condition, though the conditions are not compared directly

Claim · All claims
Evidence · 1 study (3 entries) · causal r2 · q3
Currency · newest study 2026 · 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.

q3 i? In the teacher condition, feedback quality significantly predicted revised draft quality (β = .53). → Farrokhnia 2026 q3 i? In the Zero-shot condition, feedback quality did not significantly predict revised draft quality. → Farrokhnia 2026 (2) q3 i? In the CoT condition, feedback quality showed a small non-significant negative coefficient for revised draft quality. → Farrokhnia 2026 (3)

Evidence

Farrokhnia 2026

Farrokhnia, M., Latifi, S., Papadopoulos, P. M., Hogenkamp, L., Gijlers, H., Khosravi, H., & Noroozi, O. (2026). Generative AI offers more, but students revise less: comparing the effects of teacher and AI feedback on student essay revisions. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00579-9

q3 · i? · printed figures are a regression coefficient (B = 0.57, β = .53) and model R², not a d-family effect size · causal · r2

Multiple regression in the teacher condition (model F(2, 21) = 9.53, p = .001, R2 = .47) found feedback quality significantly predicted revised draft quality, with "revised draft quality increased by 0.57 points" per feedback-quality point (β = .53).

"Both predictors contributed significantly: for every one‐point increase in feedback quality, revised draft quality increased by 0.57 points (B = 0.57, SE = 0.17, β = .53, t = 3.30, p = .003)"

Farrokhnia 2026 (2)

Farrokhnia, M., Latifi, S., Papadopoulos, P. M., Hogenkamp, L., Gijlers, H., Khosravi, H., & Noroozi, O. (2026). Generative AI offers more, but students revise less: comparing the effects of teacher and AI feedback on student essay revisions. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00579-9

q3 · i? · causal · r2

Multiple regression in the Zero-shot condition (model F(2, 21) = 9.61, p = .001, R2 = .48) found only initial draft quality significant; feedback quality "did not reach significance" (B = 0.32, β = .29, p = .13).

"The influence of feedback quality, although positive (B = 0.32, β = .29), did not reach significance ( t = 1.56, p = .13)."

Farrokhnia 2026 (3)

Farrokhnia, M., Latifi, S., Papadopoulos, P. M., Hogenkamp, L., Gijlers, H., Khosravi, H., & Noroozi, O. (2026). Generative AI offers more, but students revise less: comparing the effects of teacher and AI feedback on student essay revisions. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00579-9

q3 · i? · causal · r2

Multiple regression in the CoT condition (model F(2, 19) = 8.80, p = .002, R2 = .48) found only initial draft quality significant; feedback quality showed "a small, non‐significant negative coefficient" (B = −0.50, p = .26).

"Feedback quality showed a small, non‐significant negative coefficient (B = − 0.50, β = − .21, t = − 1.16, p = .26)."

Discussion

Page metadata
Field Value
type claim
id feedback-quality-predicts-revision-only-in-teacher-condition
title In one study, feedback quality significantly predicts revised essay quality under teacher feedback but not under either GenAI feedback condition, though the conditions are not compared directly
description In one study, feedback quality significantly predicts revised essay quality under teacher feedback but not under either GenAI feedback condition, though the conditions are not compared directly
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 3 — farrokhnia-2026, farrokhnia-2026-2, farrokhnia-2026-3

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