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AIEd Research Weekly Update #0

A weekly brief from the AI in Education Knowledge Base, on what new research in AI and education means for instructors, developers, researchers, and administrators. This first issue introduces the site itself, because a link to a page is only useful once you know what kind of page you have landed on.

It holds 1,802 article summaries, 220 concept pages, 37 FAQs, and 31 resources, in 33 languages. Search or use AI to chat with the knowledge base.

Contents

Why this site exists

AI in education research arrives faster than anyone can read it: thousands of papers a year, most of them reporting one course, in one institution, under conditions the abstract does not state. An instructor who wants to know whether AI feedback improves writing has to find the studies that bear on that question, read them against each other, and notice that one of them tested a model two generations old. That is research work, and nobody hired that instructor to do it.

The site does that reading in public. An AI agent reads the open-access literature and drafts the pages, a human editor reviews and publishes them, and every claim ends in a link to the paper behind it, so a sentence you doubt can be checked in two clicks. It is free, it is in the public domain under CC0 1.0, and there is nothing to sign up for.

It is written for the people who teach, study, design, or administer AI in education, which is why one finding often appears three times in different places: once for the instructor who has to grade with it, once for the developer who has to build it, and once for the administrator who has to decide whether to buy it.

How it is organized

Four kinds of page, and the kind tells you what it is good for:

  • Concept pages collect what the research says about one idea, such as feedback, assessment, or cognitive offloading, and link every study behind the claim. Start here for the overview.
  • Article summaries cover one paper at a time, with its findings, its method, its limitations, and the full citation. They are listed day by day on the journal page.
  • FAQs answer the practical question in the words people actually ask it, with the research attached.
  • Resources list tools, collections, and instruments worth using, with who made each one, what it costs, and when its link was last checked.

The left sidebar indexes everything by strand, and the concept map on the home page arranges the field into twelve strands with AI in Education at the center. Every page ends with what it connects to, so a topic can be followed across the whole set: from a concept to the papers behind it, from a paper to the concepts it touches, and from an FAQ to both.

Where to start, by role

Instructors

The changing teaching role, learning design, assessment, feedback, academic integrity, framing AI use for students, and reducing misuse. For your own subject rather than the general case, see AI in your discipline.

Developers

Building for education, the technologies underneath, intelligent tutoring, multimodal AI, learner modeling, and training and adapting a model for teaching.

Researchers

Research methods in AIED, theories and frameworks, evaluating an AI in education intervention, educational measurement, measuring learning gains, and the cross-cutting limits of this evidence base.

Administrators

The administrator role, AI governance, institutional policy, legal issues and risks, and change management.

Whatever your role, the five essential concepts are the shortest way in: AI literacy, misconceptions about AI, agentic AI, cognitive offloading, and how to interpret and apply this research, including why one study rarely settles a question.

Questions the site already answers

Most of the questions people put to a chatbot have already been answered here by hand, with the research attached. A few worth opening before you ask:

There are 37 of them in all, indexed by question rather than by topic, and there is one for students too: how should I use AI to study and learn effectively.

Search it or chat with it

The box in the header searches every page as you type, and the search page does the same with room for results. Ctrl K puts the cursor in the box from anywhere on the site.

Chat

The whole knowledge base is published as machine-readable files, so you can point your own assistant at it and get answers that cite these pages instead of inventing them. Copy the prompt from the AI page, paste it as your first message, and then ask your question; a good answer names the pages it used, so you can check it. If you would rather not set anything up, two assistants already know the material: the AI in Education Advisor Gemini Gem, and a NotebookLM notebook built on the same pages. Assistants that cannot open links can be handed llms-concepts.txt, every concept and FAQ page in one file.

Read the whole thing offline

The knowledge base is also published as a book, in two formats: EPUB for a phone, a tablet, or an e-reader, and PDF for printing or for a computer. Each one holds the concept pages, the FAQs, the home introduction, the page about using the site with an AI assistant, and an appendix of free tools and resources, organized into chapters with a numbered table of contents you can click. Neither includes the article summaries, which stay on the site, and both carry the same public-domain notice and the statement of how the text was made. The download links sit on the home page and on the AI page.

Fifteen of the translations have their own edition as well, in both formats. The other seventeen link the English edition, the way their home pages do.

Read the site in your language

The site is published in 33 languages: English, plus 32 translations of the main pages, the concept pages, the FAQs, and the resources. The article summaries are English only.

What comes next

Issue #1 goes out tomorrow with the week's research, grouped by who has to act on it. After that, one issue a week, each with the two or three results that change what a reader should do, and a short record of what changed on the site itself.

To keep up, subscribe to the newsletter feed for the issues alone, or to the knowledge base feed for every new page as it is added. Every issue stays at the archive.

AIEd Research Weekly Update comes from the AI in Education Knowledge Base, which an AI agent generates. This issue was drafted by that same AI agent, with editorial guidance from the site developer, and every claim above links to the page it came from.

The knowledge base is dedicated to the public domain under a CC0 1.0 license. No rights reserved.

Found an issue with the content? Report it on GitHub, or contact the site developer, Doug Holton.

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