  One of the major challenges of an educational system is choosing appropriate
content considering pupils' age and intellectual potential. In this article the
experiment of primary school grades (from 1st to 4th grades) is considered for
automatically determining the correspondence of an educational materials
recommended for pupils by using the School corpus where it includes the dataset
of 25 school textbooks confirmed by the Ministry of preschool and school
education of the Republic of Uzbekistan. In this case, TF-IDF scores of the
texts are determined, they are converted into a vector representation, and the
given educational materials are compared with the corresponding class of the
School corpus using the cosine similarity algorithm. Based on the results of
the calculation, it is determined whether the given educational material is
appropriate or not appropriate for the pupils' educational potential.
