Personalized Learning Management System using a Machine Learning Technique

Abstract

Learning Management System (LMS) is a traditional tool for E-learning. Combined with Machine Learning (ML), such technology has unprecedentedly allowed teachers to observe and understand students' behaviors and performance. This research aims to enhance individual learning results by classifying a risk group and offering a self-tutoring program. This paper adopts a machine-learning model and proposes a new algorithm named "RSU-ML-PL," which enables a personalized and self-tutoring system. Overall, the experiment revealed good progress in student marks on their final examinations. The final examination results show that 606 (79%) students in the risk group passed their exams.