Digital technologies as a tool for adaptive teaching of foreign languages in higher school based on artificial intelligence

Abstract

Current digital transformation of education necessitates the creation of intelligent solutions capable of ensuring personalized and effective learning of foreign languages in higher school. The relevance of the study is determined by the need to introduce adaptive digital technologies based on artificial intelligence (AI) into the teaching of foreign languages in higher school to personalize learning and increase its efficiency. The aim of the study is to clarify the effectiveness of the use of AI-based digital technologies as a tool for adaptive teaching of foreign languages in higher education institutions (HEIs). The object of analysis was the architecture of adaptive educational systems that integrate machine learning (ML), deep neural networks (DNNs), deep learning (DL), natural language processing (NLP), and intelligent analytics algorithms to form dynamic learning trajectories.