Research on high quality intelligent test paper generation based on a genetic algorithm

被引：0
|
作者：
Gao, S. M. [1 ]
机构：
[1] Harbin Univ Sci & Technol, Sch Comp Sci & Technol, Harbin, Heilongjiang, Peoples R China
来源：
INFORMATION SCIENCE AND ELECTRONIC ENGINEERING | 2017年
关键词：
Middle school examination; test paper generation; genetic algorithm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Aiming at the intelligent algorithm of the middle school examination, the key characteristic parameters affecting the quality of test papers are adjusted. A few unreasonable parameters are removed and a few more important parameters are added. Some are the papers' or questions' properties, and some are the control parameters of the algorithm. By adjusting these parameters, the quality of the papers is improved. Finally, the function of generating test papers is realised by using a genetic algorithm.
引用
收藏
页码：91 / 94
页数：4
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