Design for Adaptive User Interface for Modeling Students' Learning Styles

Ashery Mbilinyi, Shinobu Hasegawa, Akihiro Kashihara

Abstract: Various researches have shown that providing adaptive support during students learning process improves student’s motivational and learning outcomes. Therefore the effectiveness of e-learning systems can be determined based on how adaptive they are to the intended students. In this paper we describe a design for an adaptive user interface for a web-based learning system that can estimate students learning styles from their interaction with the web and use that information to guide them during their knowledge construction process.