DEVELOPING LANGUAGE TEACHING: FROM GRAMMAR TRANSLATION TO AI-BASED LEARNING
Abstract
This article examines the historical evolution of teaching foreign languages from the Grammar Translation Method to contemporary Artificial Intelligence (AI)-based learning environments. The study analyzes major methodological paradigms that have influenced foreign language education, including the Direct Method, Audio-Lingual Method, Communicative Language Teaching, Task-Based Language Teaching, and technology-enhanced learning approaches. Special attention is given to the emergence of AI-driven educational tools and their impact on personalized learning, assessment, feedback, and communicative competence development. The article argues that language teaching methodologies have gradually shifted from teacher-centered and knowledge-transmission models toward learner-centered, interactive, and intelligent learning systems.
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