DIGITAL TRANSFORMATION IN LANGUAGE TEACHING: FROM TRADITIONAL METHODS TO ARTIFICIAL INTELLIGENCE

Abstract

This article examines the digital transformation of language teaching and analyses the impact of contemporary digital technologies and artificial intelligence on the language-teaching process. It focuses on the evolution of traditional forms of instruction, the potential of digital educational technologies, and the main areas where artificial intelligence is applied in language teaching.

The advantages of using intelligent systems are examined, including the personalisation of instruction, the automation of instructional guidance, increased access to educational resources, and opportunities for online learning. The article identifies the main risks to academic integrity. It addresses issues of information reliability, the protection of learners’ personal data, and the preservation of the teacher’s leading role in the educational process.

Contemporary scholarly works related to the subject have been examined. Based of an analysis of the theoretical literature on the issues under investigation, the article demonstrates the need of integrate artificial intelligence technologies harmoniously into language education while preserving education's humanistic orientation of education and recognising the importance of the teacher’s role as a mentor and facilitator.

It is concluded that the most promising model for the development of contemporary language education is one based on collaboration between the teacher and artificial intelligence. Such a model contributes to improving the quality of instruction, developing communicative competence, saving time and human resources, and fostering learners’ digital skills.