Instructional governance: the designed allocation of authority, agency, accountability, context, and evaluation visibility in AI-mediated teaching interactions¶
Design · All designs
Evidence · 3 claims (3 for) · 3 studies (1 review, 1 qualitative, 1 theoretical),q2· 0 of 3 report an effect size · 3 claims rest on one study
Description¶
The article defines instructional governance as "the designed allocation of pedagogical authority, learner agency, human accountability, contextual boundaries, and evaluation visibility within an AI-mediated teaching interaction". It locates governance at the level where educators and students encounter AI: prompts, rubrics, approval gates, interfaces, dashboards, style guides, and course-specific constraints. The construct complements institutional policy by making governance choices visible in concrete instructional artifacts and workflows.
Design Implications¶
Context¶
Requirements¶
- Governance must be encoded in a teaching tool's interaction model, constraints, and workflow rather than left to policy documents alone
Constraints¶
- Framed for computing and first-year engineering education contexts
Target Learners¶
- computing and first-year engineering students
Learning Goals¶
- responsible and pedagogically aligned use of generative AI in programming instruction
Claims¶
- Learner agency in GenAI-mediated learning is enacted through prompting, questioning, verification, comparison, revision, and disciplinary judgment [+W]
- Distributed epistemic agency emerges as learners attribute authority to AI outputs and shift responsibility for knowledge validation, though some engage dialogically [+W]
- Students exercise ethical agency in GenAI use through human-AI collaboration strategies, personal ethical frameworks, strategic calibration of use, and resistance to over-reliance [+W]
Related Designs¶
- Relational bridge: AI-enabled pedagogical accompaniment as temporary, directional, bounded micro-mediation toward human engagement
- Auditability principle and the seven-part anatomy of an agentic workflow turn
Examples¶
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Key Sources¶
- Ethan Dickey. (2026). Instructional Governance by Design: A Framework for AI in Computing Education. https://arxiv.org/abs/2609.26098
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
instructional-governance-design-construct |
title |
Instructional governance: the designed allocation of authority, agency, accountability, context, and evaluation visibility in AI-mediated teaching interactions |
description |
The article defines instructional governance as "the designed allocation of pedagogical authority, learner agency, human accountability, contextual boundaries, and evaluation visibility within an AI-mediated teaching... |
status |
review |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ethan-dickey-2026 |
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