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Introduction. Today neural networks are used in various fields, being able to improve the quality of work and significantly reduce the time spent on routine tasks. The application of neural networks in education is actively explored, but at the moment the research in the field of task generation for classroom teaching of foreign language students is scanty, which accounts for the relevance of this article. The aim of the work is to analyse the possibility of using neural networks as a tool for developing tasks for current control of students’ English-language knowledge. Methods and materials. The results were analysed using qualitative analysis, error analysis and performance analysis. The YandexGPT 2 neural network’s response to the queries for creating current control assignments was analysed, in particular, tasks for consolidating the studied vocabulary and test papers consisting of several parts. The survey involving 1st-year students was implemented at the Empress Catherine II Saint Petersburg Mining University. KEYWORDS Results. Based on the results of the analysis, the queries were modified to obtain an answer that would require minimal adjustment by the teacher. Although it was not possible to create queries that would consistently yield a good result, the neural network’s answers were successfully used for current control, making it possible to quickly prepare several versions of test papers aimed at consolidating the studied vocabulary and grammar. Thus, the survey explored the possibility of using neural networks for devising traditional English language tasks that are still in demand at the training sessions. Conclusion. The research showed that the use of neural networks for creating materials for current control significantly reduces the time for their development and allows the teacher to adapt the materials for each group of students, which improves their quality. The findings can be useful for the development of other types of teaching materials.
Kiseleva et al. (2025) studied this question.