Abstract
The paper presents the results of a research study conducted within the project AI Assistant for Pupils and Teachers. The study focuses on how to use AI for classification and search of digital teaching materials.
The numbers of digital materials are growing fast, and it is very difficult for a teacher to find a material that meets all the criteria they are looking for. The authors of this paper are developing a set of criteria on whose basis AI could be taught to classify, systematize and search in the existing digital materials.
The study focuses on three frameworks for definition of criteria and key words (FEP, CERMAT and FE). The conclusion of the analyses conducted is that these frameworks do not make a good skeleton for building the system.
Thus, the team is working on developing their own system of keywords and criteria that would allow the use of AI.