Claims

Cognitive feedback comments were the most frequently identified content in online peer feedback studies

Claim · All claims
Evidence · 1 study · review r2 · q3
Currency · newest study 2024 · checked against its sources 2026-10-21 (automated, 1 of 1 entry) · 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? Across 73 reviewed studies, cognitive content was the most frequently identified feedback content (n = 29; 39%), while metacognitive content was identified less often (n = 8; 10%). → Xingshi Gao 2024

Evidence

Xingshi Gao 2024

Xingshi Gao, Omid Noroozi, Judith Gulikers, Harm J.A. Biemans, Seyyed Kazem Banihashem. (2024). A systematic review of the key components of online peer feedback practices in higher education. Educational Research Review. https://doi.org/10.1016/j.edurev.2023.100588

q3 · i? · review · r2

Systematic review of 73 articles on online peer feedback in higher education, coded deductively by MISCA content categories. The review reports "Cognitive content was most frequently identified in reviewed publications (n = 29; 39%)" versus metacognitive content at 10%.

"Cognitive content was most frequently identified in reviewed publications (n = 29; 39%), while Metacognitive content was identified less often (n = 8; 10%)."

Discussion

Page metadata
Field Value
type claim
id cognitive-content-most-frequent-online-peer-feedback
title Cognitive feedback comments were the most frequently identified content in online peer feedback studies
description Cognitive feedback comments were the most frequently identified content in online peer feedback studies
status review
evidence_strength moderate
newest_evidence 2024
source_checked 2026-10-21
generated by process:wiki-ingest on 2026-10-21
trust unverified — no one has confirmed this page's content
sources 1 — xingshi-gao-2024

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