atli (Nahuatl) - to drink water
This repository, AI ATtribution for Learning & Instruction (AI-ATLI), aims to provide transparent and reproducible ways to documenting how AI tools were used in the development of both instruction and learning materials in education. This project was motivated by a need in education as well as influenced by Open Education Resources (OER) and Creative Commons. Attribution is separated into two main categories: AI Permissions and AI Creation. Each category has an associated icon that is also included in this repository.
If you use these materials, please cite the repository.
All icons created by Bethany Hernandez-Torres.
AI Permissions refer to whether or not content may be uploaded to AI and are summarized in two categories.
| Category | Description |
|---|---|
| AI-OK | This content may be uploaded to AI or LLMs. |
| AI-NO | This content may NOT be uploaded to AI or LLMs. |
This repository uses a four-category attribution system describing how AI tools were used during development.
| Category | Description |
|---|---|
| Brainstorming | Initial generation of ideas, examples, or prompts. |
| Drafting | Outlining or initial text drafts. |
| Editing | Checking for grammar, clarity, or style. |
| Coding | Assistance with programming or debugging. |
This branch includes a static GitHub Pages prototype that demonstrates how students or instructors could generate an AI-ATLI attribution statement in a browser.
- Presents the AI Permissions and AI Creation framework in a public-facing format.
- Lets users choose categories and enter tool, model, date, and human review details.
- Generates copy-ready plain text and Markdown attribution statements.