Russia Unveils Prototype AI Textbook Covering 28 Topics on Artificial Intelligence

Russia has unveiled a prototype textbook on artificial intelligence. The platform covers 28 topics and is currently being tested at Innopolis College. Testing in schools in Tatarstan and the Nizhny Novgorod Region is planned for later. The news comes from Hi-Tech ("Хайтек").

The report contains few facts, and they deserve a careful read. The headline says the textbook is "already being tested in schools," but the body text refers to a college, and schools are only in the plans. These are different audiences: Innopolis College is a technical institution that trains IT specialists, and its student body differs markedly from an ordinary school class.

What we know about the platform

Only a small set of parameters has been publicly confirmed:

• format: a prototype educational platform, not a finished commercial product;
• content: 28 topics on artificial intelligence;
• current test site: Innopolis College;
• next stage: schools in Tatarstan and the Nizhny Novgorod Region;
• timeline for wide rollout and price: not disclosed.

The developer, the format in which the material is presented, and whether a generative model sits inside the platform have not been disclosed. The term "AI textbook" allows two readings. The first is a textbook about AI: a course with theory and practice on neural networks. The second is a textbook powered by AI, one that adapts to the student, generates exercises, and explains the material in dialogue. The source's wording does not make clear which one this is. It is most likely the first, but there is no confirmation.

Why these regions were chosen

Tatarstan and the Nizhny Novgorod Region are among the regions with well-developed IT infrastructure. Innopolis is home to technology companies and a specialized university, while Nizhny Novgorod has a strong developer community and several technical universities. That suits a pilot: there are teachers who can give substantive feedback, and schools where digital tools meet less resistance than the national average.

Such a sample has a downside, too. Results from a prepared audience transfer poorly to schools that lack strong computer science teachers and stable access to equipment. If the developers want to prove that the platform works at scale, they will have to test it outside technology hubs as well.

What to watch next

For now this is only an announcement of a prototype, and it is too early to evaluate it. For schools and parents, the key questions are practical.

• Who writes the materials and who reviews them. AI topics go out of date quickly, and courses on the subject often contain errors.
• Whether the platform includes a chatbot or answer generation. If it does, it needs age limits, content filters, and a clear policy on storing student data.
• How results are measured. The platform needs metrics such as performance by topic and the share of completed assignments, not just teacher feedback.
• What the hardware requirements are. A cloud platform and a local installation place different demands on school infrastructure.

For our readers: follow the results of the pilot in Innopolis and the list of schools that will be connected in Tatarstan and the Nizhny Novgorod Region. If the developer discloses the architecture and methodology, it will become clear whether this is a full-fledged AI tutor or a well-packaged course of 28 topics. These products solve different problems and cost different amounts.