AWA¶
Product or Programme · All products and programmes
Evidence · 3 claims (2 for, 1 against) · 2 studies (1 review, 1 design),q2· 0 of 2 report an effect size · 3 claims rest on one study
Description¶
AWA is a University of Technology Sydney web application that analyzes pasted student writing with natural-language-processing services and displays rhetorical-move highlights and related text statistics for formative self-assessment.
Components¶
Claims¶
- Students reported AWA highlighting provoked reflection on their writing despite questioning its accuracy [+W]
- Expert-judged sentence selection by a tuned rhetorical parser succeeded, but student reactions to key-sentence highlighting were mixed [+W]
- Students identified lack of sensitivity to linguistic nuance as a limitation of AWA feedback [-W]
Related Products and Programmes¶
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Key Sources¶
- Knight, S., Buckingham Shum, S., Ryan, P., Sándor, Á., & Wang, X. (2016). Designing Academic Writing Analytics for Civil Law Student Self-Assessment. Int J Artif Intell Educ. https://doi.org/10.1007/s40593-016-0121-0
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
awa |
title |
AWA |
description |
AWA is a University of Technology Sydney web application that analyzes pasted student writing with natural-language-processing services and displays rhetorical-move highlights and related text statistics for formative self-assessment. |
status |
review |
product_kind |
software |
generated |
by process:settle-candidates on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
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