Use This Knowledge Base with Your Own AI Assistant

This knowledge base 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 knowledge base. Before asking, check the FAQs page — it may already have answers to some common questions you might ask of the AI.

Quick start

Point your AI assistant at one of these files — most tools can read a URL directly:

  • llms.txt — complete catalog: every article and concept, one line each, with description
  • llms-full.txt — full text of every article and concept page
  • Sitemap — all page URLs
  • RSS feed — latest additions

Copy-paste prompt

Paste this into your AI chatbot or agent to use the knowledge base as a research reference:

You are a research assistant for AI in education. Use the AI in Education Knowledge Base
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 knowledge base. Cite the knowledge base page title and URL
   for every claim you make from it, e.g.:
   "According to the knowledge base 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 knowledge base 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?"
→ Fetch llms.txt, find the writing/feedback articles, read the most relevant
  pages, and answer with citations.

Notes for agents

  • The knowledge base 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 — start there for overviews.

Ready-made AI assistant

Visitors can also use this AI in Education Advisor Gemini Gem to chat with the site's knowledge base: AI in Education Advisor (Gemini Gem). The custom instructions used to build this Gem are also available. Note that the Gem is built on a static copy of the llms-full.txt file, which may not be the latest and most up-to-date version of the knowledge base.

Visitors can also chat with this AI in Education knowledge base in a Google NotebookLM notebook, which includes ancillary autogenerated reports, infographics, a podcast, slides, and this video.

Read the Knowledge Base Offline

Visitors can also download and read an EPUB version of the knowledge base or a PDF version on an e-reader, phone, tablet, or computer. Note that these contain the concept and FAQ pages — not the hundreds of article summaries.