METHODOLOGY FOR THE RESPONSIBLE USE OF ARTIFICIAL INTELLIGENCE IN EDUCATIONAL INSTITUTIONS

Abstract

The article considers the important issue of creating approaches to the responsible use of artificial intelligence during education. The scientific and methodological principles are highlighted, which include personally oriented, activity-based, competency-based, resource-based approaches. The main ones are: the formation of skills to apply AI to solve educational and scientific tasks, system analysis, interdisciplinarity as the integration of knowledge from pedagogy, psychology, computer science, digital technologies, management, special disciplines, academic integrity involves the use of AI as a tool for effective learning. The aspects of the psychological and pedagogical readiness of the subjects of education to use AI technologies, the identification of patterns, interconnections and mutual influence of AI and potential resources of future specialists in digital technologies are clarified. The didactic principles of the responsible use of artificial intelligence in solving educational and scientific tasks are considered. One of the components and important elements of such a methodology is the material and technical base of AI, which is designed to increase the efficiency of enriching knowledge and competence of education seekers, processing large data sets, and implementing tools for scientific and educational research. An important component of the didactic principles (material and technical support for AI training is considered in detail), which includes 6 main components that provide the theoretical and practical part of the educational and scientific process. These include computing infrastructure, laboratory and office equipment, software, network equipment and security, premises and infrastructure, additional resources.