Аннотация
This article presents an interactive module focused on autonomous work for teaching historical elements within the university course «History and Methodology of Mathematics».The results indicate that well-structured autonomous interaction can improve both cognitive and emotional outcomes when studying historical topics related to new trends in teaching. The article describes the implementation of Artificial Intelligence (AI) -based tools for teaching fourth-year students. The learning model combines adaptive visualization, an intelligent training system (ITS), and sketch analysis using computer vision. The article presents a methodology for applying artificial intelligence to historical data. The use of interactive teaching methods increased the average student score from 5.2 to 6.4()01.0p. This is especially important in the training of progressive mathematics specialists.