ARTIFICIAL INTELLIGENCE FOR MANAGING AND MONITORING STEAM EDUCATIONAL ENVIRONMENTS

The article is devoted to the problem of using artificial intelligence to monitor and organize STEAM education and the educational environment of a secondary education institution. Attention is paid to the analysis of scientific literature to determine the features of artificial intelligence tools, their categories and characteristics for the pedagogical activity of teachers. To ensure high quality of articles, relevant publications were included in the Web of Science and Scopus databases. The purpose of the article is to analyze the role of artificial intelligence in the management and monitoring of the STEAM educational environment in secondary education institutions. We have determined that regular feedback analysis, assessment of resource provision (equipment, digital tools, educational materials), analysis of pedagogical approaches (project-based learning, integrated lessons, interdisciplinary projects), involvement of students and parents in the assessment process, monitoring of STEAM education for its correction and integration of innovative technologies into the educational process are important. The ethical and proper implementation of AI in STEAM education is becoming increasingly relevant, as students are actively using it. Among the categories are Generative educational systems, Intelligent tutors, Content creation tools, Assessment systems, Analytics and research, Natural language processing. The following features of AI tools were identified: motivational impact on students, personalization of learning, learning analytics, feedback, development of creative and critical thinking, and support for teachers. Prospects for further research include developing methodological recommendations for the use of AI to organize and monitor STEAM education for secondary school teachers.