Students rate human-generated feedback as superior to AI-generated feedback in quality, helpfulness, and clarity, and as more likely to be acted upon¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2026 · checked against its sources 2026-10-17 (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.
q2 i? Students rate human-generated feedback as superior in quality, helpfulness, and clarity compared to AI-generated feedback, and as more likely to be accepted and acted upon. → Winstone 2026
Evidence¶
Winstone 2026¶
Winstone, N. E., Gravett, K., Bearman, M., Noble, C., Jensen, L. X., Jones, A., & Nicola-Richmond, K. (2026). The care-full craft of feedback in an age of generative AI. Assessment & Evaluation in Higher Education, 51(5), 911-927. https://doi.org/10.1080/02602938.2026.2643333
q2 · i? · review · r2
The review reports, citing Steiss et al., Henderson et al., and Lu et al., that "human-generated feedback is still rated by students as superior in quality" and clarity and helpfulness relative to AI-generated feedback, and more likely to be acted upon. No effect sizes are printed; the review narrates these studies without reporting their designs.
"research findings indicate that human-generated feedback is still rated by students as superior in quality (Steiss et al. 2024), helpfulness (Henderson et al. 2025), and clarity (Lu et al. 2024) in comparison to AI-generated feedback, as well as more likely to be accepted and acted upon by students"
Discussion¶
Related Claims¶
- Feedback improves learning by a medium amount on average, but its effect varies widely with the information it carries, and a substantial share of feedback effects are negative — the general claim this finding bears on, with the studies behind it
- AI multimodal feedback is rated higher than educator feedback on specificity, clarity, simplicity, motivation, satisfaction, and lower mental effort, with comparable correctness, trust, and acceptance — reports the opposite
- AI assessors show emerging reliability: acceptable AI-human rater agreement (Cohen's 0.78) in a 12-educator case study and human-comparable feedback helpfulness ratings with 45 learners — related
- GPT-4o-mini natural language feedback was overwhelmingly helpful and never harmful in quality annotation — related
- Differences between human and ChatGPT feedback quality were small, with means within one point and partial eta-squared ranging from .01 to .12 — related
- Thematic coding of student reflections shows peers seen as understanding context and AI feedback seen as actionable, with one quarter of reflections expressing skepticism of AI — related
- Students rate LLM-generated response-level feedback favourably, with clarity and perceived accuracy highest and actionability and usefulness lowest — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
human-feedback-rated-superior-to-ai-feedback |
title |
Students rate human-generated feedback as superior to AI-generated feedback in quality, helpfulness, and clarity, and as more likely to be acted upon |
description |
Students rate human-generated feedback as superior to AI-generated feedback in quality, helpfulness, and clarity, and as more likely to be acted upon |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
source_checked |
2026-10-17 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — winstone-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.