Claims

Students showed clear appetite for automated writing support and comfort with machine-generated feedback

Claim · All claims
Evidence · 1 study · design r2 · 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

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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