IMPROVING THE METHODOLOGICAL TRAINING OF HISTORY TEACHERS THROUGH ARTIFICIAL INTELLIGENCE TOOLS

This article analyzes the issues of improving the methodological training of prospective and practicing history teachers based on artificial intelligence technologies in the context of modern digital transformation. The study reveals the didactic possibilities, pedagogical effectiveness, and the role of artificial intelligence tools in developing methodological competencies in history education. In addition, the pedagogical and psychological theories of scholars such as John Hattie, Lee Shulman, Donald Schön, Michael Fullan, and Lev Vygotskiy are analyzed within the context of history education. The research is presented in the IMRAD structure and highlights innovative mechanisms for the use of artificial intelligence in history teaching.