Source-Grounded AI Wikis
An AI wiki is useful when every explanation remains tied to the material that produced it.
Site connection
Lykke turns Canvas course content into generated wiki pages, flashcards, quizzes, and study artifacts.
Visual model
A page that regenerates with its sources
A source-grounded wiki has definition blocks, examples, pitfalls, and study aids that can be regenerated when the course material changes.
Interactive
A source-grounded wiki page is a small versioned knowledge product
The Core Object
A source-grounded AI wiki page is not just a generated essay. It is a structured teaching object built from specific source blocks.
The useful unit is the claim: a definition, theorem, step, example, warning, or formula that can be traced back to a source.
The wiki should make the student smarter without asking them to trust unsupported generated prose.
Page Anatomy
A strong page starts with the concept, then gives mechanics, examples, variations, common mistakes, and a study check.
Interactive or visual moments matter because many technical ideas are spatial, procedural, or comparative.
| Block | Purpose |
|---|---|
| Definition | Name the concept precisely |
| Mechanics | Show how it works step by step |
| Worked example | Move from abstract rule to concrete use |
| Pitfalls | Show how learners usually get it wrong |
| Quiz | Test transfer, not memorization |
Common Pitfalls
- Writing generic study-wrapper prose instead of directly teaching the topic.
- Generating citations that do not exist.
- Making diagrams decorative instead of explanatory.
- Not versioning regenerated pages when source material changes.
Quick check
Quiz
What makes an AI wiki source-grounded?
- It is long
- It has every claim tied to source material
- It uses a dark theme
- It avoids diagrams
Grounding comes from traceable source support, not from length or style.