The structure, factors, and specifics of developing professionally oriented motivation of IT students for foreign language learning

the challenge of developing professionally oriented motivation of IT students using AI is multifaceted and extremely relevant. It lies at the intersection of modern trends in pedagogy (personalization, motivation), linguistics, and information technology (AI integration in education), enabling a transition from abstract language learning to the development of specific competencies in the demand of the global labor market. The combined use of tools such as GPT (for context and creativity), Kandinsky (for visualization), Elsa (for pronunciation), and Lang 4Club (for community) creates a synergistic effect, covering all aspects of language training: reading, writing, speaking, and listening, but with a strictly professional focus. Thus, the research and implementation of such methods is not just a modern trend, but a pressing need for training highly qualified, competitive, and motivated IT specialists prepared for work in an international environment. The aim of this study is to theoretically examine the structure, factors, and specifics of developing professionally oriented motivation of IT students for foreign language learning using AI tools such as Yandex GPT, Kandinsky, Sber's Gigachat, Elsa Speak, and Lang 4Club.

structure, factors, professionally oriented motivation, foreign language learning, IT students, artificial intelligence