ARTIFICIAL INTELLIGENCE IN LANGUAGE LEARNING AND ADAPTIVE PERSONALIZED LEARNING TECHNOLOGIES

Abstract

This article provides a comprehensive analysis of the role of artificial intelligence (AI) in language learning and its impact on adaptive personalized learning technologies. It explores the integration of AI-driven tools, such as neural network models, automated translation systems, and voice assistants, into modern educational frameworks. The study evaluates the effectiveness of adaptive learning methods by examining their influence on student engagement, knowledge retention, and overall learning outcomes. Additionally, the article discusses the advantages and limitations of AI-based language learning approaches, highlighting their potential to enhance traditional educational methodologies. Special attention is given to emerging trends in AI-assisted education, including personalized content delivery, real-time feedback, and the role of multimodal AI systems in improving language acquisition. The findings contribute to the growing discourse on the future of AI-powered learning environments and provide recommendations for optimizing AI integration in language education.