一种快速的智能成卷算法

华南理工大学学报(自然科学版) ›› 2003, Vol. 31 ›› Issue (12): 34-36,41.

一种快速的智能成卷算法

熊赟晖, 肖人岳, 田翔

华南理工大学应用数学系广东广州510640

出版日期:2003-12-20 发布日期:2022-09-02
通信作者: 熊赟晖（1972－）男硕士主要从事智能信息处理、考试服务平台研究．

A Quick Intelligent Algorithm for Examination Paper Generation

Xiong Y un-hui, Xiao Ren-yue, Tian Xiang

Department of Applied MathematicsSouth China Univ．of Tech．Guangzhou510640China

Online:2003-12-20 Published:2022-09-02

摘要/Abstract

摘要： 根据考试命题者的考试要求以最小知识点为信息收集单位提出了一套独特的收集题库资源的方法和选题风险的概念．首先选取试题资源最少的指标分量再从试题资源信息库中找出满足该指标分量的所有知识点计算所有满足条件的试题的选题风险找出风险最小的试题直至满足考试要求为止．该算法具有速度快、成卷质量高的特点为实现大规模网络化考试提供了一种很好的成卷方法．

关键词: 智能成卷, 题库资源, 选题风险, 网络化考试

Abstract: According to the demand of the examinerrelevant information was collected for the item bank according to the basic contents of learning．Thusa unique method of collecting testing resources and the concept of item risk were proposed．Firstlywe found an index that had the minimum resource relative to the demand of examiner．Thenwe searched for all the items from the item bank that satisfied the indexand chose a minirisk item．We repeated doing this till the examiner was met．The algorithm showed good performance in speed and qualityand provide a good method for the large scale net-examinations．

Key words: intelligent generation paper, resource of item bank, risk of item, net-examination

中图分类号:

TP274

熊赟晖, 肖人岳, 田翔. 一种快速的智能成卷算法[J]. 华南理工大学学报(自然科学版), 2003, 31(12): 34-36,41.

Xiong Y un-hui, Xiao Ren-yue, Tian Xiang. A Quick Intelligent Algorithm for Examination Paper Generation[J]. Journal of South China University of Technology(Natural Science Edition), 2003, 31(12): 34-36,41.