A Personalized E-Learning System Using Reinforcement Learning Through Satellite

This paper discusses an educational system that leverages Reinforcement Learning (RL) to facilitate interactive learning experiences for students. The system consists of a web server, a student environment, and a satellite connection. The web server serves as the central hub for managing the educational content and facilitating communication between the student environment and the satellite. The student environment comprises a Math Quiz and a Question Generator, providing interactive learning activities for students. Through RL techniques, the system adapts to students' learning progress and dynamically adjusts the difficulty level of the quizzes. The RL agent within the student environment uses a Q-learning algorithm to update its policy based on the feedback received from the students' responses. Overall, this E-learning system provides an engaging and personalized learning experience by combining RL, interactive quizzes, and real-time feedback, empowering students to enhance their knowledge and skills.