基于自适应技术的教育类课程考试智能组卷方法

Intelligent Test Paper Generation Algorithm for Educational Courses Based on Adaptive Technology

传统的考试题目管理系统在组织试卷内容方面存在成卷速度慢、试卷整体质量不高的问题,为此,将自适应技术引入到并行遗传算法的种群迁移过程中,设计一种能够快速生成试卷的优化遗传算法。完成了题库编码策略、适应度函数改进、自适应度函数调用、确定交叉变异算子、遗传策略的设计,在获取较高适应度的同时基于并行策略提高了算法的效率,实验结果表明,所设计的算法能够高质量、高速率地完成自动组卷,具有很强的实用性。

The traditional examination question management system has the problems of slow speed and low overall quality in organizing test paper content.Therefore,a adaptive technology is introduced into the population migration process of parallel genetic algorithm,and an optimized genetic algorithm which can quickly generate test paper is designed.The design of item bank coding strategy,fitness function improvement,adaptive function call,determination of crossover mutation operator and genetic strategy is completed.At the same time,the efficiency of the algorithm is improved based on parallel strategy.The experimental results show that the algorithm designed can complete automatic test paper generation with high quality and high speed,and has strong practicability.