Hypermedia and learning styles: can performance be influenced?
Journal of Educational Multimedia and Hypermedia
Adapting instruction in search of 'a significant difference'
Journal of Network and Computer Applications
Adaptive educational hypermedia on the web
Communications of the ACM - The Adaptive Web
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
Personalizing the Interaction in a Web-based Educational Hypermedia System: the case of INSPIRE
User Modeling and User-Adapted Interaction
Adaptive and Intelligent Web-based Educational Systems
International Journal of Artificial Intelligence in Education
Matching and Mismatching Learning Characteristics with Multiple Intelligence Based Content
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
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Adaptive educational systems capture and represent, for each student, various characteristics such as knowledge and traits in an individual learner model. However, there are some unresolved issues in building adaptive educational systems that adapt to individual traits. For example it is not obvious what is the appropriate educational theory with which to develop instructional resources and model individual traits. This paper describes an experiment using the Multiple Intelligence (MI) based adaptive intelligent educational system, EDUCE, that explores how different categories of resources are used when the learner has complete control and when adaptive presentation strategies are employed. In particular it explores how Musical/Rhythmic traits and resources impact on performance. Results suggest that students prefer using Musical/ Rhythmic resources to other types of resources, however it is not clear how this preference can be best employed to enhance learning performance.