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.
CITATION STYLE
Mbilinyi, A., Hasegawa, S., & Kashihara, A. (2016). Design for adaptive user interface for modeling students’ learning styles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9735, pp. 168–177). Springer Verlag. https://doi.org/10.1007/978-3-319-40397-7_17
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