Students showed clear appetite for automated writing support and comfort with machine-generated feedback¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2016 · 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.
q2 i? Among survey respondents, there was a clear appetite for support from tools such as AWA, with most rating themselves quite or very likely to use it if made available. → Knight 2016
Evidence¶
Knight 2016¶
Knight, S., Buckingham Shum, S., Ryan, P., Sándor, Á., & Wang, X. (2016). Designing Academic Writing Analytics for Civil Law Student Self-Assessment. International Journal of Artificial Intelligence in Education, 28(1), 1–28. doi:10.1007/s40593-016-0121-0
q2 · i? · design · r2
Survey of 12 of 40 participating students after a week of experimentation. Response frequencies were tabulated for the likelihood-of-use question; students probed the system by uploading essays from multiple disciplines and comparing feedback across mark ranges.
"There was a clear appetite for support from tools such as AWA among these students. The students were invited to use the tool to reflect on their current assignment; however, a number of them mention 'testing the system'– uploading multiple assignments; varying expression in individual assignments; and uploading assignments from varying disciplines, to explore the differences in feedback obtained."
Discussion¶
Related Claims¶
- Students reported AWA highlighting provoked reflection on their writing despite questioning its accuracy — related
- Students identified lack of sensitivity to linguistic nuance as a limitation of AWA feedback — related
- Most surveyed power-and-energy respondents would use a power-specific hands-on AI tutorial, and few rate generic image-based AI examples as very relevant — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
student-appetite-automated-writing-feedback |
title |
Students showed clear appetite for automated writing support and comfort with machine-generated feedback |
description |
Students showed clear appetite for automated writing support and comfort with machine-generated feedback |
status |
review |
evidence_strength |
weak |
newest_evidence |
2016 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — knight-2016 |
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