Edutainment technology with AI elements in the context of foreign language teaching to Master Degree students

Background. The relevance of the research theme is due to the necessity to improve the quality of foreign language teaching to Master Degree students at a technical university by searching and improving pedagogical methods in order to meet the requirements of new generation federal educational standards. In this regard, the use of edutainment technology in combination with artificial intelligence (AI) appears to be an important condition for the effective organization of the educational process with a focus on high motivation of the students. Thanks to the functionality of AI, lecturers have the opportunity to develop exciting interactive tasks as the basis of the technology analyzed both for the classroom activities and independent work of the learners. This will help to increase the language proficiency level of the students and prepare them for successful professional activity in an international environment. Purpose. The purpose is to analyze the peculiarities and potential of applying edutainment technology in combination with elements of artificial intelligence in teaching English to Master Degree students at a technical university. Materials and methods. The study is based on a set of theoretical and methodological approaches that has allowed us to conduct an analysis and effectiveness assessment of the applying edutainment technology in combination with AI in the educational process. It has been used such methods as observation, description, data collection and analysis, generalization, and systematization. Results. Within the framework of integrating edutainment technology into the educational process, it has been studied and tested GigaChat tools to determine their functionality and potential for their application in foreign language teaching. The results of the study allow us to conclude that the application of this technology combined with AI elements has made classes more interesting and contributed to the intensification of the knowledge acquiring process. It has been identified scientific conferences, communicative trainings, and discussions as the most productive forms of intellectual work, which stimulated student active participation during classroom activity and independent study. The article provides examples of artificial intelligence tools application in the practice of teaching English to Master Degree students of technological faculty. The materials of the study can be used when organizing foreign language classes in higher schools. EDN: FMZJBH