CONCEPT OF ARCHITECTURE OF INTELLIGENT ASSISTANT FOR PREPARATION FOR OLYMPIADS

Nuyakshin Mihail Gennadievich

The article proposes a conceptual architecture of an intelligent assistant designed to prepare schoolchildren for mathematics olympiads. The system structure integrates adaptive algorithms and machine learning methods to achieve personalization of the educational process. This takes into account the individual level of knowledge, behavioral and cognitive characteristics of students. The main modules of the system include problem generation, analysis of solutions and errors, management of the learning path and gamification to increase motivation. Particular attention is paid to the error diagnostics mechanism using a comprehensive approach, including accuracy comparison with reference solutions, criteria analysis of the student's responses and classification of errors by type. The system provides effective feedback to the student and supports teachers in managing the learning process.

Keywords:mathematics olympiads, adaptive learning, machine learning, error diagnostics, task generation, solution analysis, individualized learning trajectory.