User Modeling and User-Adapted Interaction
Adaptive Content in an Online Lecture System
AH '00 Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Educational data mining: a review of the state of the art
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Expert Systems with Applications: An International Journal
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Research on learning has shown that students learn differently and that they prefer to use different type of resources. Adaptive Educational Systems can support different learning characteristics by building a model of the studentýs learning behaviour and subsequently adapting the learning environment to match different needs. However major challenges exist, as it is not clear how a student model of learning style can be accurately built. One solution may be in the use of machine learning techniques. This paper presents ýFirst Aid For youý, a novel adaptive educational system that dynamically determines learning style using machine learning techniques. The paper describes how it uses the Felder & Solomon Index of Learning Style to design an environment for different learning styles. It also describes how, as the student interacts with the learning environment, it uses the Naïve Bayes algorithm to predict the studentýs preferred learning style and adaptively customize the learning environment