THE EFFECTIVENESS OF INDIVIDUAL LANGUAGE TEACHING BASED ON ARTIFICIAL INTELLIGENCE
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Abstract
This article scientifically studies the effectiveness of individual language teaching based on artificial intelligence (AI) technologies. The aim of the study is to determine the impact of AI-based person-centered teaching systems on the development of students' language skills. The study was conducted using a mixed-method approach, with experimental tests conducted with the participation of 60 students. The experimental group was taught using artificial intelligence tools (ChatGPT, Grammarly, Duolingo, Elsa Speak), while the control group received traditional education. The results showed that AI-based teaching significantly improved students' written, oral, and listening skills: grammatical errors decreased by 32%, pronunciation accuracy increased by 27%, and reading speed increased by 18%. As a result of the interviews, the majority of students rated AI systems as convenient, motivating, and a tool that helps with learning. The study practically confirms the role of AI technologies in ensuring an individual approach, reducing the teacher's workload, and increasing educational efficiency.
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