Research and Implementation of Multi-agent Based Test Paper Generation Algorithm

Automatic test generating system in distributed computing context is one of the most important links in on-line evaluation system. Although the issue has been argued long since, there is not a perfect solution to it so far. This paper proposed an innovative approach to successfully addressing such issue by the seamless integration of an algorithm and multi-agent system. In the design phase, a test paper qualification model was defined for automatic generation of test paper with higher efficiency. The algorithm first generates a quantization model of test paper then the test items are selected from the database according to the quantization model. The random selection and approximate match tactics are used in this algorithm. In the phase of implementation, the algorithm was implemented in an agent by the Java Agent Development Environment. The final simulation results validated the feasibility of the proposed approach.