Responsible AI use and student agency are mutually reinforcing capacities¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q1
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.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q1 i? The paper argues that responsible AI use and student agency are mutually reinforcing, so that learners engage with technology intentionally rather than passively depending on it. → Wood 2026
Evidence¶
Wood 2026¶
Wood, D., & Moss, S. (2026). Cultivating Agency and Responsible AI Use Through the AI-ARC Framework. Journal of Instructional Design and Technology, 1(1), 8–17. https://doi.org/10.65201/CJHS2205
q1 · i? · theoretical · r2
This is the paper's central conceptual thesis, argued from literature on AI ethics, metacognition, and epistemic agency rather than tested with data. The authors state that responsible use "is not merely rule-following but a reflective practice" requiring students to regulate how AI contributes to their thinking.
"This paper argues that responsible AI use and student agency are mutually reinforcing capacities that enable learners to engage with technology intentionally rather than passively depend on it."
Discussion¶
Related Claims¶
- Pseudo-agency: students may appear engaged without understanding the epistemic purpose of their actions — related
- AI introduced without pedagogical scaffolding can replace rather than reinforce learners' self-regulatory processes — related
- Current AIED rests on five faulty assumptions that risk learner dependence, isolation, and reduced flourishing — related
- The article argues that GAI systems' adaptive functionality inherently encourages over-reliance rather than fostering learner-centric data collection for SDL — related
- AI intuition emphasizes epistemic judgment rather than output optimization, distinguishing it from prompt engineering — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
responsible-ai-use-and-agency-mutually-reinforcing |
title |
Responsible AI use and student agency are mutually reinforcing capacities |
description |
Responsible AI use and student agency are mutually reinforcing capacities |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — wood-2026 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.