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.

翻译：教育系统面临的主要挑战之一是根据学生的年龄和智力潜力选择合适的教学内容。本文对小学一至四年级的实验进行了研究，旨在利用学校语料库自动确定推荐给学生的教育材料是否合适。该语料库包含由乌兹别克斯坦共和国学前和学校教育部门确认的25本学校教科书数据集。研究中，首先计算文本的TF-IDF值，并将其转换为向量表示，然后使用余弦相似度算法将给定的教育材料与学校语料库中对应的年级类别进行比较。根据计算结果，确定给定的教育材料是否适合学生的教育潜力。