Personalized E-Learning Content Based On Felder-Silverman Learning Style Model

Abstract

A Personalization of E-learning can be done by personalize E-learning features, which are learning content and learning activities provided. In this study, E-learning content personalization was carried out based on the Felder Silverman Learning Style Model (FSLSM). FSLSM is a method of classifying learning styles into 4 dimensions, namely perception, processing, input and understanding. FSLSM classifies learning styles using the Index of Learning Styles (ILS) questionnaire, consisting of 44 questions. In the system that was built, the ILS questionnaire was digitized to map E-learning users, based on their learning style. Afterwards, content personalization algorithms were designed, so users could access content that were suitable to their learning styles while using the system, after that learning content was designed for each dimension of the FSLSM with ADDIE modelling, which was the stage for creating E-learning content. To test the designed algorithm, Delphi method was used, which is a method that collects expert opinion on a problem. For system test, System Usability Scale (SUS) method was used to measure acceptance of user. The results of this research, getting agreement on the accuracy of the design of content personalization algorithms from 3 E-learning experts, the system that was built got SUS 75.33 which was acceptable with grade B, means the system was accepted as a learning tools to help them in learning process based on SUS assessment.