SCORM-based contents collection with Multi-Agent for e-learning system

With rapid development of the Internet, e-learning system has become more and more popular. Lots of corporations begin to train their stuffs with e-learning system. Currently, to make training materials reusable and sharable in different e-learning system, Sharable Content Object Reference Model (SCORM) was the most widely accepted standard among existing international standards. Because teaching-learning problem could be handled as a cooperative approach, Multi-Agent techniques are appropriate in designing e-learning system. Therefore, in this paper, based on SCORM Standard, we propose Agent architecture for collecting training contents in e-learning system. By employing the technology of software Agent, the system can search and collect appropriate training contents for separate stuff.