INTELLIGENT FOREIGN LANGUAGE EDUCATION: PRACTICES AND MODELS IN THE ERA OF ARTIFICIAL INTELLIGENCE

Abstract

The rapid advancement of artificial intelligence has accelerated the transition from adaptive technologies to more complex forms of intelligent language learning. This paper explores contemporary practices and emerging models in foreign language education shaped by AI-driven tools and systems. It examines how adaptive platforms, intelligent feedback mechanisms, and data-informed instructional strategies contribute to the development of more personalized and flexible learning environments. The analysis focuses on the shift from technology as a supplementary resource to its role as an integral component of pedagogical design. Special attention is given to the ways in which intelligent systems support individualized learning paths, enhance learner engagement, and enable continuous monitoring of progress. At the same time, the study highlights the importance of pedagogical mediation in ensuring that technological applications remain aligned with educational objectives and learner needs.

The paper also considers the evolving structure of language learning models, where interaction between human and digital elements creates hybrid educational environments. These environments combine automation with pedagogical guidance, offering new opportunities for communicative competence development while preserving the central role of the teacher. The findings suggest that the effectiveness of intelligent language learning depends on a balanced integration of technological innovation and pedagogical expertise. Rather than replacing traditional teaching practices, artificial intelligence contributes to their transformation, supporting more adaptive, responsive, and learner-centered approaches in foreign language education.