Use This Wiki with Your Own AI Assistant
This wiki is agent-ready: the full catalog and content are published as machine-readable text files that any AI chatbot, coding agent, or LLM tool can ingest. Give your assistant the link below and it can answer questions about AI in education research with citations back to this wiki.
Quick start
Point your AI assistant at one of these files โ most tools can read a URL directly:
- llms.txt โ complete catalog: every article and concept, one line each, with description
- llms-full.txt โ full text of every article and concept page
- Sitemap โ all page URLs
- RSS feed โ latest additions
Copy-paste prompt
Paste this into your AI chatbot or agent to use the wiki as a research reference:
You are a research assistant for AI in education. Use the AI in Education Wiki
as your knowledge base.
1. First fetch the catalog: https://edtechdev.github.io/aied/llms.txt
(If you need full text of specific pages, fetch them from
https://edtechdev.github.io/aied/llms-full.txt or the individual page URLs.)
2. When answering questions about AI in education research, ground your answer
in articles and concepts from this wiki. Cite the wiki page title and URL
for every claim you make from it, e.g.:
"According to the wiki article 'X' (URL), ..."
3. If asked about a topic, synthesize across multiple related articles and
concepts rather than relying on a single page. Mention when the wiki does
not cover a topic instead of guessing.
4. Recommend related articles and concepts when relevant.
Example question: "What does the research say about AI feedback for student writing?"
โ Fetch llms.txt, find the writing/feedback articles, read the most relevant
pages, and answer with citations.Notes for agents
- The wiki covers AI in education research: tutoring, assessment, feedback, AI literacy, teacher AI competency, policy, and more.
- Articles include APA citations; the original paper links are in each citation.
- Concept pages synthesize the related articles โ start there for overviews.