Bayesian Modeling for Adaptive Hypermedia Systems
Abstract:
In this paper we show how Bayesian models can be used
advantageously for various adaptation tasks in open WWW-based
hypermedia systems. We discuss how to model user knowledge about
different topics and learning dependencies between these topics, how
to make inferences for calculating the system's belief on a user's
knowledge based on observations from exercises/observations. We
illustrate this discussion by examples from an educational hypermedia
system we developed for our course "Introduction to Java Programming".
This paper is available in
Postscript-Format und als
HTML-Dokument.