An Intelligent Test Paper Generation Algorithm Based on Adjustment of Overall Difficulty Degrees

Abstract

Intelligent test paper generation is an important factor for online examination systems, which determines whether the system can be used to effectively test the true levels of the testees. For the current algorithms of test paper generation that is low success rate, long time-consuming and the generated exam papers are difficult to meet actual demands, an intelligent algorithm of test paper generation is presented, that is based on adjusting of overall difficulty degrees of the test questions. According to the levels of difficulty degrees and the number of each type of questions required by the users, an appropriate number of questions for each level of the difficulty degree for the test paper is generated by the algorithm. Then, the corresponding questions are extracted randomly. Simulation results show that the intelligent test paper generation algorithm is faster, of good quality, the generated test papers can meet the actual demands.