INTELLIGENT AGENTS IN EDUCATION: ARCHITECTURE OF A MULTI-AGENT SYSTEM FOR LEARNING

Abstract

The rapid development of artificial intelligence technologies has significantly influenced modern educational systems. Intelligent agents are increasingly used to support personalized learning, automate assessment, and provide adaptive educational content. This paper explores the role of intelligent agents in education and analyzes their application in intelligent tutoring systems and adaptive learning environments. A conceptual architecture of an AI-powered multi-agent learning system for mathematics education is proposed. The architecture integrates intelligent agents, machine learning models, learning management systems, and educational databases to create a scalable and adaptive learning environment. The proposed system demonstrates how multiple agents can cooperate to provide personalized feedback, generate exercises, evaluate student performance, and recommend learning materials. The paper also discusses the benefits, limitations, and future research directions of intelligent agent technologies in education.