Development of philology students foreign language compensatory skills with the use of neural networks

the article highlights the relevance of developing compensatory skills in philology students in the process of foreign language training and explores the possibilities of solving it by using the educational potential of neural networks in the English language teaching. In the light of modern views on the use of competence-based and activity-based approaches in teaching foreign languages, the authors clarify the essence and structure of "compensatory competence", "compensatory strategies", "compensatory skills". The ability of philology students to overcome difficulties in real intercultural communication is considered a professionally important characteristic that is realized in all types of speech activity (reception, production, interaction and mediation) and is associated with the formation of sociolinguistic competence. As a methodological solution, it is proposed to saturate the educational process with socio-cultural content and integrate the educational potential of neural networks (on the example of chatbots Alice GPT and Grok 4). As an example, the paper proposes the integration of neural networks into a set of activities from F.G. Ablyakimova’s textbook “English Idioms and Proverbs”. Mastering the material, which is presented in thematic blocks, is carried out sequentially using language, conditional speech and speech exercises. The integration of neural networks makes it possible to implement scenarios of text mediation, concept mediation and intercultural mediation, creating conditions for the development of foreign language compensatory skills of philology students.

philology students, foreign language communicative competence, compensatory skills, mediation, neural networks