Model for Distributed Learning Space Based on PBL

This paper analyses problem-based learning (PBL) process and involving various data types. We bring forward a "centralism transmission-distribution computation" hybrid computation model in terms of the data time-property and characteristics. The model adopts multiple layers soft architecture for ensuring the system scalability and suitability, obtaining lesser quantity of data transmission and the more balance of computation load. The independent application server layer cause distributed virtual learning space (DVLS) updating and extension more convenient and easier. Combination PBL and virtual space construct DVLS, in which member realize the cooperation under the problem guidance to completely solve one task. This paper proved availability of combining PBL with virtual reality (VR) technique from two aspects of theory and practical.