
There is a genuine demand for personalization and guidance in learning systems, as well as in general commercial learning systems for the WWW, and further, for the new, emerging Semantic Web. Some isolated attempts towards adaptation are being made without fully responding to this demand. However, systematic frameworks for adaptive content and behavior description are already available in the research on Adaptive Hypermedia (AH). Here we present a novel application of an Adaptive Hypermedia Authoring framework and its principles towards extending an existing SME authoring environment for e-learning, as well as some initial evaluation results.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
