MODERN METHODS OF ORGANIZING INDIVIDUAL CONSULTATIONS IN MATHEMATICS LESSONS

Abstract

The purpose of this study is to explore modern methods of organizing individual consultations in mathematics lessons and to determine their impact on students' knowledge levels. During the research, methods for organizing individual consultations based on artificial intelligence technologies, distance learning platforms, and digital tools were analyzed. Specific examples of their application are provided, new methods for developing students' mathematical competencies were created, and ways to integrate these methods into current educational practices were investigated. The primary results include a comprehensive overview of the main individual consultation methods used in mathematics lessons, including chatbots, AI-based virtual assistants, online tutoring, and mobile learning platforms. The characteristics, advantages, and disadvantages of each method were examined, and practical examples of their organization are presented. A table comparing the features of the methods based on key performance indicators is provided. New methods for individual consultations were developed and described, encompassing adaptive learning systems, techniques for creating personalized learning trajectories, and hybrid consultation formats. The structural diagrams and operating principles of each method are demonstrated. Furthermore, ways to integrate the developed methods into current mathematics education practices were explored. The key aspects of integration are highlighted, considering a modular approach, testing, validation, and continuous system improvement. The obtained results may be useful for educational professionals striving to enhance the effectiveness of mathematics teaching.