A Qualitative and Quantitative Evaluation of Adaptive Authoring of Adaptive Hypermedia

Currently, large amounts of research exist into the design and implementation of adaptive systems. The complex task of authoring of such systems, or their evaluation, is addressed less. We have looked into the causes of this complexity. Manual annotation is a serious bottleneck for authoring of adaptive hypermedia. All means for supporting this authoring process by reusing automatically generated metadata would therefore be helpful. Previously, we proposed the integration of a generic Adaptive Hypermedia authoring environment, MOT, into a semantic desktop environment, indexed by Beagle++. Based upon this approach, a prototype was constructed. The approach in general, as well as the prototype in particular, where evaluated through both qualitative and quantitative experiments. This paper is a synthesis of our work so far, describing theoretical findings and hypotheses, their implementation in short, and finally, the combined results of the evaluations.

• Type: Conference
• Year: 2007
• Where: ECTEL
• Authors: Maurice Hendrix, Alexandra I. Cristea
• Keywords: Adaptive Hypermedia, Adaptive Systems, ECTEL 2007, Generic Adaptive Hypermedia, Machine Learning