Development of a knowledge base to support adaptive learning based on pedagogical diagnostics

This article discusses the process of developing a knowledge base to support adaptive learning based on pedagogical diagnostics. Adaptive learning is becoming an important tool for a personalized approach in education, allowing the educational process to be dynamically changed depending on the individual characteristics of students. Particular attention is paid to the role of pedagogical diagnostics in identifying the strengths and weaknesses of students, as well as in the formation of individualized learning trajectories. The article analyzes existing methods and approaches that use artificial intelligence, expert systems and analytical tools to automate the processing and interpretation of diagnostic data. A conceptual model of a knowledge base is provided, which can significantly improve the efficiency of the educational process, providing more accurate diagnostics and optimization of educational strategies.