Keyword: «digital technologies in education»

Modern trends in the development of digital technologies open up enormous opportunities for teachers, creating a virtual educational platform that ensures active interaction between students and the teacher, coupled with traditional teaching methods, open up wide opportunities for improving the quality and accessibility of education. FlikTop is an innovative platform that combines the latest technology and education, with its help learning can become more effective and filled with various educational content.

The article discusses the features of online and offline teaching of English, their advantages and disadvantages. The problem of completely replacing the offline format with online and the issues of a reasonable balance between traditional educational methods and modern digital technologies are analyzed. Specific examples of the successful interaction of these forms of education are given. Particular attention is paid to the lack of empathy in the feedback of online learning and the results of research and statistics on the transition to distance learning are discussed. A promising hybrid model of education is considered, combining the best features of both approaches. In conclusion, the importance of reasonable integration of digital technologies into educational processes to improve the quality of education is discussed.

The relevance of researching the effectiveness of artificial intelligence (AI) technologies in foreign language learning for students of language majors is determined by the growing and intensifying integration of AI into the educational process, as well as the insufficient development of methodological foundations for its use. The aim of the study is to identify promising scenarios for integrating generative AI into the training of language-major students, considering the specifics of their education and the possible limitations of the technology. The research is based on methods of analyzing scientific literature, systematization, and data synthesis to develop recommendations for the application of AI in the education of language-major students. The study includes a review of modern approaches to the technologization of education, an analysis of digitalization trends, and the integration of AI in the training of Linguistics majors. Key opportunities and limitations of generative AI applications have been identified, including the automation of routine learning tasks, personalization, support for multilingual education, analysis of linguistic material, and its generation for educational purposes. Special attention is given to risks associated with AI dependence and misuse, particularly by students. The risks of potential errors in generated content and challenges in monitoring students' independent work using AI tools are also noted. Furthermore, a literature review revealed that students’ engagement with AI does not always have a positive impact on their readiness to apply acquired knowledge in practice. These challenges collectively necessitate a cautious and controlled implementation of AI in education. Recommendations have been formulated for the use of AI in training language-major students, aimed at balancing digital technologies with traditional teaching methods. The theoretical significance of the study lies in the systematization of approaches to AI application in language education and the assessment of its impact on the training of language-major students, considering the specifics of such preparation. The practical significance of the study consists in the development of methodological recommendations for educators, focused on the productive use of AI in the learning process while maintaining a high level of student training quality.