Layered evaluation of interactive adaptive systems: framework and formative methods
User Modeling and User-Adapted Interaction
Learning styles and navigation patterns in web-based education
UAHCI'11 Proceedings of the 6th international conference on Universal access in human-computer interaction: applications and services - Volume Part IV
Unifying heterogeneous e-learning modalities in a single platform: CADI, a case study
Computers & Education
The evaluation of adaptive and personalised information retrieval systems: a review
International Journal of Knowledge and Web Intelligence
Expert Systems with Applications: An International Journal
An Adaptive Course Generation Framework
International Journal of Distance Education Technologies
A Unified Learning Style Model for Technology-Enhanced Learning: What, Why and How?
International Journal of Distance Education Technologies
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International Journal of Information Systems and Social Change
Expert Systems with Applications: An International Journal
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It is a widely held assumption that learning style is a useful model for quantifying user characteristics for effective personalized learning. We set out to challenge this assumption by discussing the current state of the art, in relation to quantitative evaluations of such systems and also the methodologies that should be employed in such evaluations. We present two case studies that provide rigorous and quantitative evaluations of learning-style-adapted e-learning environments. We believe that the null results of both these studies indicate a limited usefulness in terms of learning styles for user modeling and suggest that alternative characteristics or techniques might provide a more beneficial experience to users.