Abstract
An intelligent and adaptive learning system should adjust the content in order to ensure a faster and better performance in the learning process. One way is to help the learners and teachers to discover the preferences of learners. A learning style index is a method to classify the learning preferences of learners. Learning preferences can then help learners to find their most effective way to learn. It can also help teachers to adopt suitable learning materials for an efficient learning. This chapter is concerned with the study, implementation, and application of a web-based learning style index. We also describe a case study on the integration of the learning style index into an adaptive and intelligent e-learning system.
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Hamada, M., Nishikawa, K., Brine, J. (2013). A Study of a Learning Style Index to Support an Intelligent and Adaptive Learning Systems. In: Peña-Ayala, A. (eds) Intelligent and Adaptive Educational-Learning Systems. Smart Innovation, Systems and Technologies, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30171-1_5
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DOI: https://doi.org/10.1007/978-3-642-30171-1_5
Publisher Name: Springer, Berlin, Heidelberg
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