Knowledge aggregation and navigation high-level Petri nets-based in e-learning

With the wide application of the Internet in e-learning, the requirement of reusable, sharable learning objects and adaptive learning strategies is becoming common. This paper discusses a meta-data structure, which makes a base for reusing and aggregating learning resources in e-learning, and provides an aggregation model - Teach net based on high-level Petri nets. Teach net uses a formal description for authoring and navigation in e-learning. Colored tokens are used to model the learner and learning objects. Teach net is a base to facilitate authoring in visual and adaptive navigation in e-learning. Analysis and application show that e-learning can benefit from the modeling features of high-level Petri nets.