В статье рассматривается разработка чат-бота на основе нейросетей для обучения математике учащихся старших классов (10-11 классы). Основное внимание уделяется оптимизации процесса поиска информации с помощью нормализации пользовательских запросов и оценки достоверности информации, включающей в себя математическую точность и актуальность предоставляемых данных. Обсуждаются преимущества использования чат-ботов в образовательном процессе, такие как повышение вовлеченности учащихся, улучшение взаимодействия с учебным контентом и поддержку самостоятельной подготовки. Проанализированы различные типы чат-ботов и их применение в школьной системе, а также рассмотрена необходимость разработки более точных алгоритмов для повышения эффективности обучения. Представлена математическая постановка задачи оптимизации чат-бота, определены виды функций ограничений и структура целевой функции. Даны рекомендации по улучшению данной системы.
The article discusses the development of a chatbot based on neural networks for teaching mathematics to high school students (grades 10-11). The main focus is on optimizing the information retrieval process by normalizing user queries and evaluating the reliability of information, including mathematical accuracy and relevance of the data provided. The advantages of using chatbots in the educational process are discussed, such as increasing student engagement, improving interaction with educational content, and supporting self- study. Various types of chatbots and their use in the school system are analyzed, and the need to develop more accurate algorithms to improve learning efficiency is considered. The mathematical formulation of the chatbot optimization problem is presented, the types of constraint functions and the structure of the objective function are determined. Recommendations for improving this system are given.
The article discusses the development of a chatbot based on neural networks for teaching mathematics to high school students (grades 10-11). The main focus is on optimizing the information retrieval process by normalizing user queries and evaluating the reliability of information, including mathematical accuracy and relevance of the data provided. The advantages of using chatbots in the educational process are discussed, such as increasing student engagement, improving interaction with educational content, and supporting self- study. Various types of chatbots and their use in the school system are analyzed, and the need to develop more accurate algorithms to improve learning efficiency is considered. The mathematical formulation of the chatbot optimization problem is presented, the types of constraint functions and the structure of the objective function are determined. Recommendations for improving this system are given.