Knowledge Mining for Adaptive Multimedia Web-based Educational Platform

This workshop introduces an Adaptive Web-Based Educational platform that maximizes the usefulness of the online information that online students retrieve from the web. It shows in a data driven format that information needs to be personalized and adapted to the needs of individual students. Therefore, educational materials need to be tailored to fit these needs: learning styles, prior knowledge of individual students, and recommendations. This approach offers several techniques to present the learning material for different types of learners and for different learning styles. User models (user profiles) are created using a combination of clustering techniques and association rules mining. These models represent the learning technique, learning style, and learning sequence, which can help improve the learning experience on the website for new users.