Five-sites framework of AI-use expectations in a course¶
Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 qualitative),q2· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
The article proposes that for any given course, concepts of appropriate AI use for academic writing are housed in five distinct sites: faculty intention, formal policy, student interpretation, student self-policy, and student practice. These sites, whether explicit or implicit, formal or informal, often differ from one another, and the divergences create openings for re-interpretation of ethically questionable AI use. The framework explains how instructor expectations are translated, interpreted, personalized, and enacted, with the boundary of acceptable use softening at each site.
Design Implications¶
Context¶
Requirements¶
- Analysis of a course requires access to both syllabi or formal policy documents and student accounts of their interpretation and practice, as the article obtained through interviews, syllabi, chat logs, and submissions.
Constraints¶
- Faculty intention was not measured directly; the article states it was inferred from syllabi and participant interviews because faculty were not interviewed.
Target Learners¶
- undergraduate students in higher education
Learning Goals¶
- understanding and negotiating course AI policies in academic writing
Claims¶
Related Designs¶
Examples¶
-
Key Sources¶
- Kim, Jiyoon; Toyama, Kentaro; Kim, Sangmi; Carroll, John. (2026). "It's OK Because...": The Wild West of Student Rationalization of AI Use in Academic Writing. https://arxiv.org/abs/2605.29090. doi:10.48550/arxiv.2605.29090
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
five-sites-ai-policy-framework |
title |
Five-sites framework of AI-use expectations in a course |
description |
The article proposes that for any given course, concepts of appropriate AI use for academic writing are housed in five distinct sites: faculty intention, formal policy, student interpretation, student self-policy, and... |
status |
review |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — kim-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.