Claims

Specific feedback was the most common trait and actionable feedback the least common in both trained and untrained groups

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2024 · 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? The code specific was applied to the highest percentage of comments in both groups (36.1% trained, 23.3% untrained) while actionable matched the lowest percentage. → George Gyamfi 2024

Evidence

George Gyamfi 2024

George Gyamfi, Barbara E. Hanna, Hassan Khosravi. (2024). Impact of an instructional guide and examples on the quality of feedback: insights from a randomised controlled study. Education Tech Research Dev. https://doi.org/10.1007/s11423-024-10346-0

q3 · i? · causal · r2

Per-trait analysis of the sampled coded comments from both groups. The article reports "the chi-square goodness of fit test revealed a statistically significant difference between the groups in the extent to which each S.P.A.R.K. trait was displayed, p < 0.05."

"the code “specific” was applied to the highest percentage of comments for both the trained (36.1%) and untrained group (23.3%) while the code “actionable” matched the lowest percentage of comments."

Discussion

Page metadata
Field Value
type claim
id specific-most-actionable-least-trait
title Specific feedback was the most common trait and actionable feedback the least common in both trained and untrained groups
description Specific feedback was the most common trait and actionable feedback the least common in both trained and untrained groups
status review
evidence_strength moderate
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-29
trust unverified — no one has confirmed this page's content
sources 1 — george-gyamfi-2024

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