THE UNIVERSITY OF ALABAMA®
myBama
AI-enhanced Educational Game Design
Policy · Binding from 2026

A clear AI policy.
Disclosed every time.

Generative AI is a tool for this course, not a substitute for the credential's claim about what the learner can do. The lines below apply to all five deliverables, ship with the rubric, and are captured entry-by-entry in the GenAI Provenance Log — a missing or untrue disclosure fails the deliverable.

The two lists

What's in. What's out.

✓ Permitted with disclosure

  • Brainstorming mechanics, generating candidate design ideas, or critiquing your own drafts — provided every use is disclosed.
  • Drafting boilerplate sections of the facilitator guide (e.g. risk-mitigation language) — provided you review, revise, and disclose.
  • AI coding assistants for prototype scaffolding (Twine templates, early Three.js scaffolds) — provided you can explain every line you submit.
  • AI image tools for placeholder assets in low- and medium-fidelity prototypes.

✗ Not permitted

  • Submitting AI-generated learning objectives without your own analysis step.
  • Submitting AI-generated playtest observations as if they were observed data.
  • Submitting AI-generated reflections as Deliverable 5.
  • Submitting a prototype whose interaction design you cannot explain or modify.
Required disclosure

Three lines per deliverable.

AI Use Disclosure (appendix in every deliverable)

Each of the five deliverables ships with a short appendix titled AI Use Disclosure. Three items, no more:

  1. Which tool(s) were used.
  2. On which sections.
  3. What you changed after the tool's contribution.

Log each AI interaction in the GenAI Provenance Log — your per-entry AIAS declaration plus revision notes satisfies items 1–3 of this appendix.

Declare each use on the AI Assessment Scale (AIAS)

  1. 1 · No AI — the work is entirely your own; no AI used at any stage.
  2. 2 · AI Planning — AI for brainstorming, planning, and structuring; the submitted work is AI-free.
  3. 3 · AI Collaboration — AI helps draft or refine; you critically evaluate and modify the output.
  4. 4 · Full AI — AI completes the task; your role is directing and curating it.
  5. 5 · AI Exploration — AI used creatively to explore and co-design beyond the brief.

Scale from Perkins, Furze, Roe, & MacVaugh (2024) — see the reference list.

Breach. A missing or obviously untrue disclosure is a breach of academic integrity. The deliverable fails. The pass-bar rule (proficient on every criterion, no averaging) means a failed deliverable holds up the entire credential.
Why this line

The credential's claim is the point.

The line above tracks the program's outcomes. Outcomes 1, 2, 7, and 10 require the learner's own judgment and observation — these are the outcomes where AI substitution most damages credentialing validity. Outcomes 4, 5, 6, and 9 involve production work where AI assistance, if disclosed, does not undermine what the credential is certifying. The list above is the line drawn on that distinction; the disclosure is what makes the line enforceable.

Source: Educational Game Design Micro-Credential Course Handbook, v2, §7. See references for the empirical basis.