Abstract: In e-learning domain, learning resource composition is essential to improve the efficiency of courseware development. This paper presented an EPN-based approach to clearning resource composition flows modeling and analysis.Till now, most methods are based on high-level Petri nets (HPN)，but the resources HPN described are not suitable for learning resource composition. That leads to the inefficiency in modeling and analyzing composition flows. We proposed a EPN-based approach to the issue. We described technique for transition rules representing, algorithm, and workflow,so that resource composition can be automatically carried out. Finally, an example shows the method is suitable to the resource composition.

Key words: Petri net, Learning resource composition, Web services, EPN