基于遗传算法的试题库智能选题组卷方法  

Method of intelligent topic selection based on genetic algorithm

作　　者：邓伦丹[1] 熊婷[1] Deng Lundan;Xiong Ting(Nanchang University College of Science and Technology,Gongqingcheng 332020,China)

机构地区：[1]南昌大学科学技术学院,江西共青城332020

出　　处：《无线互联科技》2023年第19期31-33,43,共4页Wireless Internet Technology

基　　金：江西省教育厅科学技术研究项目;项目名称:基于遗传算法的网络防作弊知识竞赛系统的研究与应用;项目编号:GJJ217807。

摘　　要：常规试题库智能选题组卷方法易受选题组卷关联场景变化影响,组卷知识点覆盖度低。文章基于遗传算法设计了一种全新的试题库智能选题组卷方法。文章结合基础组卷理论构建智能试题库组卷数学模型,根据组卷指标生成组卷关联推理预选试题库,利用遗传算法设计试题库智能组卷适应度函数,完成试题库智能选题组卷。实验结果表明,设计利用遗传算法的试题库智能选题组卷方法的知识点覆盖度较高,证明本文的方法组卷效果具有应用价值。The method of intelligent topic selection and test paper generation in conventional test questions bank is easily affected by the change of related scenes of topic selection and test paper generation,and the coverage of knowledge points in test paper generation is low.Therefore,based on genetic algorithm,a new method of intelligent topic selection and test paper generation is designed.Combined with the basic theory of test paper composition,the mathematical model of intelligent test paper bank is constructed,and the pre-selected test paper bank is generated according to the index of test paper composition.The fitness function of intelligent test paper bank is designed by genetic algorithm,and the intelligent topic selection and test paper composition of test paper bank is completed.The experimental results show that the knowledge coverage of intelligent topic selection and test paper composition method based on genetic algorithm is high,which proves that the method in this paper has application value.

关 键 词：遗传算法 试题库 智能 选题 组卷 方法 

分 类 号：TB23[一般工业技术—工程设计测绘]