Personalized Learning Approach In Learning Management System Using Cluster Models

This paper focuses on the integration of cluster models using K-means algorithm as a main mechanism in providing a personalized learning approach integrated in a learning management system (LMS). The cluster models provide intelligent questions mechanism suited to the individualized learning of students. The LMS will provide necessary examinations to gauge the students’ learning capability and based on the result of the examination, the item analysis and clustering algorithm were performed to provide reinforcement questions in helping students to pass a certain examination. The derived cluster models consist of easy, average, and hard question categories. The process repeats until such time that the students will be able to answer the questions correctly. In this way, the students increase their academic performance. The system was also evaluated by the LMS experts using the FURPS model. Overall, the system was rated with a “Very Satisfactory” rating.

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