PRINCIPLES OF USING ARTIFICIAL INTELLIGENCE IN TEACHING THEORETICAL DISCIPLINES (TRANSLATION THEORY)

Abstract

This paper provides a theoretical justification for the principles of employing artificial intelligence (AI) in teaching theoretical disciplines, particularly translation theory. The study aims to enhance students’ competencies through AI-assisted learning, improve the reliability of assessment procedures, and ensure academic integrity within the educational process. The research methodology is based on didactic modeling, comparative analysis, and the examination of findings obtained from a small-scale pedagogical experiment. The scientific novelty of the study lies in the development of a system of principles that integrates AI tools with conceptual mapping, error diagnosis, and adaptive feedback in translation theory instruction.