Uzbek text's correspondence with the educational potential of pupils: a case study of the School corpus

TL;DR

This study explores an automated method to evaluate the suitability of educational materials for primary school pupils in Uzbekistan by analyzing text similarity with a curated school corpus.

Contribution

It introduces a novel approach using TF-IDF and cosine similarity to assess educational content alignment with pupils' developmental levels.

Findings

Effective identification of appropriate educational materials

High correlation between similarity scores and material suitability

Potential for automating educational content selection

Abstract

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.