Abstract
The paper presents one of the partial outputs of the project AI assistant for students and teachers. We present a part of the research, which aimed to design and experimentally validate a classification system for digital learning resources.
For this purpose, three content classification systems (RVP, CERMAT, PEDF) were developed based on different approaches to educational content based on curriculum documents. It turns out that it is very difficult to find for specific materials, but also in general terms, a link between the required outcomes, the curriculum and the subsequent requirements in the state matriculation examination.
This is certainly a valuable input to the discussion on the revision of curriculum documents.