Temporary belief sets management in adaptive training systems

Abstract

The paper proposes a semantic view on the notion of ,,learning object" and an application model based on RDF-based learning objects and learning processes. Direct feedback is individualized for test subjects and learning tasks, according to requirements defined for corporate training. The knowledge model allows contextualization and subjectivity, which, in turn, are used to dynamically generate temporary belief sets, compare them to the (theoretically) objective belief set underlying the learning content and adapt learning recommendations to each particular user. The semantic models also determine learning prerequisites and the screen flow adapted to each individual learner, thus influencing usability. © 2011 Springer-Verlag.