E032

PERSONALIZATION OF MOODLE LMS THROUGH AI BASED DYNAMIC FORMULATION OF CUSTOMIZED LEARNING OBJECTS

Ibrahim Adam, Dr. Tenku Putri Norishah, Dr. Zainudin Siran

AFFILIATION
Faculty of Creative Multimedia, Multimedia University

Description of Invention

Researchers have initiated to focus on adaptive e-learning environments (ALE) that deals with the development approach to provide a personalized e-learning experience tailored to the personal characteristics of learners. With the advancement of machine learning and Artificial Intelligence (AI), there's a dearth of understanding regarding how dynamic approaches can be effectively incorporated into designs to maximize the efficacy of ALE. Integrating Felder-Silverman Learning Style Model (FSLSM), instructional design concepts and machine learning, authors have develop a concept of personalizing Moodle LMS to provide customized learning paths through dynamic formulation of learning objects with the content and learning activities tailored based on learner preferences and their knowledge level.