Some aspects of automated learning systems application in foreign language training

Abstract

In the paper we have substantiated that rapid technological advancements and changing educational needs in response to modern challenges are driving growing interest in the use and adaptation of automated learning systems (ALS), which involve implementing of digital technologies and pedagogical methods aimed at optimizing and individualizing the educational process. ALS are currently widely used in foreign language teaching. ALS’ adaptation for this purpose aims to improve students’ listening, speaking, reading, and writing skills, as well as develop intercultural competence. The use of AI and specialized analytical algorithms – an important part of modern ALS – allows self-paced language learning platforms, such as Duolingo, to track students’ strengths and weaknesses, so that, if they miss or misunderstand something, the system can return them to problematic areas. Duolingo also analyzes students’ language proficiency, allowing them to receive appropriately challenging assignments as well as gradually and effectively develop these skills.