Personalized Learning Analytics Using AI

Abstract

The increasing demand for personalized learning experiences in education has led to the development of a Personalized Learning Analytics system powered by AI and enhanced with Randomized Algorithm Design (RAD). The system forecasts results, evaluates student performance, and offers personalized learning trajectories. RAD maximizes prediction accuracy through random selection of past data, ensuring for the purpose of offering objective analysis. Students can track progress and receive personalized feedback, and instructors can track class performance through individual interfaces. Career guidance is offered through an AI chatbot, and cloud scalability guarantees seamless operation.