MODELLING ARTIFICIAL INTELLIGENCE INTEGRATION INTO EDUCATIONAL ENVIRONMENT

Artificial intelligence is becoming the subject of special attention of researchers from various fields of knowledge, who express ambiguous views about it. Nevertheless, international organizations confidently promote AI, seeing it as innovative and having significant potential. This trend is observed in the educational sphere as well. The research is focused on the practical tasks of the educational sector aimed at personalized learning, lifelong education and the HyFlex model, the development of students' Meta skills and the creation of a motivational learning space. The term "trajectory of artificial intelligence integration into educational environment" is offered and defined as the way of systematic implementation of artificial intelligence technologies in the process of training students to provide transformation of the educational space in response to social, economic and technological changes. Decision-making method based on the goal tree and didactic modeling based on the principles of the agent-oriented educational model and the innovation diffusion model are used in the research. The teacher's algorithm for choosing the possibility and need to use artificial intelligence in the educational process is outlined. A model of the trajectory of artificial intelligence integration into the educational environment is created and its components are described, including agents, goal tree, technologies, mechanisms, performance evaluation monitoring, diffusion channels and AI integration goals. Exploratory and formative experiments were conducted to test the mechanisms presented in the model on the basis of Cherkasy State Business College. Recommendations for the use of each group of mechanisms are presented, namely AI teacher assistant, virtual tutor, individualized learning, useful experience tool, research support, and motivational resource. It is illustrated with practical examples of approbation that can be used in the educational process in any discipline. It is experimentally proven that the integration of AI into the educational system carries a significant potential for its modernization, contributing to the improvement of learning outcomes, expanding access to knowledge and research, optimizing the educational process and stimulating the motivation of all participants.