Claims

Responsible AI use and student agency are mutually reinforcing capacities

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

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.