Claims

In the first assessment stage, peer group and ChatGPT-4o feedback showed no significant difference in quality

Claim · All claims
Evidence · 1 study · causal r1 · 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? Quantitative analyses indicated no significant difference between peer group and ChatGPT-4o feedback quality during the first assessment stage. → Li 2026

Evidence

Li 2026

Li, X., Zhang, Y., & Liu, T. (2026). Comparative analysis of peer group and AI-generated feedback in peer assessment: Insights into feedback quality and student perceptions in higher education. Australasian Journal of Educational Technology, 42(4), 129–146. https://doi.org/10.14742/ajet.11467

q3 · i? · causal · r1

Mixed methods study comparing 13 undergraduate peer groups (39 students) with ChatGPT-4o; quantitative analysis found "no significant difference during the first assessment stage". No effect size is printed, so impact is not coded.

"Quantitative analyses indicated no significant difference during the first assessment stage; however, in the second stage, ChatGPT-4o provided feedback that was significantly higher in constructiveness, accuracy and concreteness."

Discussion

Page metadata
Field Value
type claim
id stage1-no-significant-difference-peer-ai-feedback-quality
title In the first assessment stage, peer group and ChatGPT-4o feedback showed no significant difference in quality
description In the first assessment stage, peer group and ChatGPT-4o feedback showed no significant difference in quality
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 — li-2026

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