AI COMPETENCIES OF FUTURE COMPUTER SCIENCE TEACHERS:ANALYSIS AND VISUALIZATION OF EDUCATIONAL DATA

Abstract

The article is devoted to substantiating the relevance of training future computer science teachers to use artificial intelligence technologies for analyzing and visualizing educational data in schools. The current state of development of artificial intelligence as an applied industry and as an educational trend in the context of digital transformation of education is analyzed.  It has been established that in contemporary conditions, the issues of introducing artificial intelligence technologies into the educational process of general education institutions and higher pedagogical educational institutions are of particular importance as a necessary element of training future teachers. Possible ways of integrating artificial intelligence into school education are considered, and key areas of training for future computer science teachers capable of effectively using AI to analyze and visualize educational data in their professional activities are identified. The research findings demonstrated the necessity of introducing innovative methodological approaches, elective courses, and interdisciplinary projects aimed at enhancing the professional competence of future teachers. The authors emphasize that improving the model of training computer science teachers in the context of educational digitalization is one of the key factors in ensuring high-quality, modern, and competitive school education. In addition, the article identifies the scientific and methodological foundations for applying artificial intelligence tools in pedagogical practice.