Claims

AI-peer integrated feedback produces significantly higher posttest affective engagement than conventional peer feedback in EFL writing

Claim · All claims
Evidence · 1 study · causal r1 · q3 · i3 large
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 i3 After controlling for pretest scores, the AI-peer integrated feedback group reported significantly higher posttest affective engagement than the peer-feedback-only control group (partial η2 = 0.29). → Liu W 2026

Evidence

Liu W 2026

Liu W (2026) AI-peer integrated feedback in second language writing classes: exploring students' engagement and writing performance. Front. Psychol. 17:1871951. https://doi.org/10.3389/fpsyg.2026.1871951

q3 · i3 · causal · r1

Quasi-experimental pretest-posttest study with 122 Chinese EFL students; three one-way ANCOVAs on engagement posttest scores with pretest covariates and Bonferroni-corrected alpha. The experimental group's adjusted mean (M = 4.03) exceeded the control group's (M = 3.05), "mean difference = 0.98, 95% CI [0.70, 1.26]"; partial η2 = 0.29.

"ANCOV A revealed a significant main effect of group on posttest affective engagement after controlling for pretest scores ( F(1, 119) = 49.32, p < 0.001, partial η2 = 0.29)."

Discussion

Page metadata
Field Value
type claim
id ai-peer-feedback-higher-affective-engagement
title AI-peer integrated feedback produces significantly higher posttest affective engagement than conventional peer feedback in EFL writing
description AI-peer integrated feedback produces significantly higher posttest affective engagement than conventional peer feedback in EFL writing
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 1 — liu-w-2026

Frontmatter is the page's machine-readable record — see the Schema & Guide.