Collaborators searching algorithm based on learner metadata for CSCL

Collaborator´s competencies play an import role in Computer-Supported Collaborative Learning (CSCL). Referring two existed learner metadata, we, from a human-centered viewpoint, create a new one which consists of two kinds of elements: automatic elements and manual elements. Then by analyzing characters of learner in the collaboration, we believe that the learners in the system form a P2P network which could use Mobile Agent for message transferring. Finally based on the new learner metadata and the fact that the network is P2P network, we give an improved flooding routing algorithm. The algorithm could help sponsor search potential collaborators automatically by redesigned learner metadata.