Revision-driven increases in appraisal resources are driven by Attitude and Graduation, while Engagement frequency remains stable across draft types¶
Claim · All claims
Evidence · 1 study · associationalr2·q3
Currency · newest study 2026 · 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.
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q3 i? A significant Draft Type × Appraisal Subsystem interaction shows both revision types raised Attitude and Graduation frequencies but left Engagement stable. → Zhao H and Ji J 2026
Evidence¶
Zhao H and Ji J 2026¶
Zhao H and Ji J (2026) Human-written and AI-generated revisions: an appraisal analysis of dialogic positioning in argumentative writing. Front. Educ. 11:1904852. https://doi.org/10.3389/feduc.2026.1904852
q3 · i? · associational · r2
Linear mixed model on the 168-essay corpus reported a significant Draft Type × Appraisal Subsystem interaction, F(4, 492) = 28.209, p < .001. Attitude means rose from 11.574 (first) to 15.677 (peer) and 18.429 (AI); Graduation from 4.737 to 5.074 and 6.006; Engagement "remained stable across all three draft types".
"Importantly, a significant interaction between Draft Type and Appraisal Subsystem was observed, F(4, 492) = 28.209, p < .001"
Discussion¶
Related Claims¶
- AI-generated revisions employ significantly more appraisal resources than peer-feedback revisions, which exceed first drafts — related
- Heteroglossic resources outnumber Monoglossic resources across all draft types, with no significant difference in Engagement distribution across revision conditions — related
- Entertain is the most frequently used heteroglossic subcategory across all draft types, decreasing in peer-feedback revisions but remaining relatively high in AI revisions — related
- Peer-feedback revisions shift toward a more contractive dialogic stance while AI-generated revisions keep a relatively balanced Contract–Expand distribution — related
- Counter rises in both revision conditions, Endorse rises in peer-feedback revisions but declines in AI revisions, and Pronounce declines in both — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
attitude-graduation-drive-increase-engagement-stable |
title |
Revision-driven increases in appraisal resources are driven by Attitude and Graduation, while Engagement frequency remains stable across draft types |
description |
Revision-driven increases in appraisal resources are driven by Attitude and Graduation, while Engagement frequency remains stable across draft types |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — zhao-h-and-ji-j-2026 |
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