LLM-BASED CHATBOTS FOR SMART EDUCATION

The rapid evolution of Large Language Models (LLMs) has significantly enhanced intelligent educational technologies, enabling personalized learning at scale.This study focuses on the development, integration, and evaluation of LLM-based chatbots for smart education.These chatbots provide instant academic support, adaptive content delivery, automated assessments, and interactive tutoring.Unlike traditional rule-based systems, LLM-powered chatbots demonstrate advanced contextual understanding, multilingual capabilities, superior reasoning, and student-specific learning adaptability.This research analyzes system architecture, implementation methodologies, and performance results using LLM frameworks such as GPT and LLaMA.Experimental findings indicate high accuracy, improved learner engagement, and strong effectiveness in digital learning environments.Overall, the study concludes that LLM-based chatbots represent a scalable, intelligent, and student-centric solution for modern education.