Claims

AI-assisted feedback does not reduce student-perceived usefulness of rated feedback

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2026 · checked against its sources 2026-10-19 (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? Perceived usefulness was nearly identical across conditions (coeff. = -0.01, SE = 0.06, p = 0.88) among submissions with observed student ratings. → Mahinpei 2026

Evidence

Mahinpei 2026

Mahinpei, R., Dean, V., Fong, R., Liu, L. T., & Ribeiro, M. H. (2026). AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education. arXiv. https://arxiv.org/abs/2606.03095 doi:10.48550/arxiv.2606.03095

q3 · i? · causal · r2

Randomized field experiment; student-rated usefulness (1–5 Likert) compared across conditions for rated feedback instances only (N = 468). Course-level averages were 3.47 (control) and 3.48 (treatment), with "nearly identical" results across homework assignments.

"Among submissions with observed student usefulness ratings, perceived usefulness was nearly identical across conditions (coeff. = -0.01, SE = 0.06, 95% CI [-0.13, 0.12],𝑝= 0.88)."

Discussion

Page metadata
Field Value
type claim
id ai-assisted-feedback-preserves-student-usefulness
title AI-assisted feedback does not reduce student-perceived usefulness of rated feedback
description AI-assisted feedback does not reduce student-perceived usefulness of rated feedback
status review
evidence_strength moderate
newest_evidence 2026
source_checked 2026-10-19
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — mahinpei-2026

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