[1]唐启涛. 基于改进的遗传算法的智能组卷算法研究[J].计算机技术与发展,2014,24(12):241-244.
　TANG Qi-tao. Research on Intelligent Test Paper Generating Algorithm Based on Improved Genetic Algorithm[J].,2014,24(12):241-244.
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 基于改进的遗传算法的智能组卷算法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年12期
页码:
241-244
栏目:
应用开发研究
出版日期:
2014-12-10

文章信息/Info

Title:
 Research on Intelligent Test Paper Generating Algorithm Based on Improved Genetic Algorithm
文章编号:
1673-629X（2014)12-0241-04
作者:
 唐启涛
 长沙医学院 计算机科学与技术系
Author(s):
 TANG Qi-tao
关键词:
 ; 人工智能; 考试系统; 遗传算法; 自适应
Keywords:
 ; artificial intelligence; examination system; genetic algorithm; self-adaption
分类号:
TP301.6
文献标志码:
A
摘要:
 随着人工智能技术在高校信息化过程的不断推广，智能在线考试模式已成为高校教学改革的一种新手段。目前现有的在线考试系统由于一些现实约束，还存在很多不足。文中针对现有的考试系统存在智能组卷后的试卷难度不均衡、题库试题难度系数确定不合理的现象，提出一种基于改进的遗传算法自动组卷策略。利用伯努利大数定律和机器自适应学习方式，确定题库中试题合理的难度系数。在试题的难度系数确定后，试卷的难度系数就是参入组卷的试题的平均难度系数，组卷中，只需指定试卷的平均难度系数和各类题型的数量即可。
Abstract:
 With the continuous promotion of university informatization process of artificial intelligence technology,intelligent online ex-amination mode has become a new way of teaching reform in colleges and universities. At present,the online examination system,because of some realistic constraints,has many deficiencies. In this paper,in view of the phenomenon that the intelligent examination system after the examination is not balanced,and exam difficulty coefficient is unreasonable,put forward a strategy of automatic generating test paper based on improved genetic algorithm. Use the Bernoulli law of large numbers and machine learning methods to determine the reasonable difficulty coefficient of test question database,after determining the difficulty coefficient,the test paper difficulty coefficient is average dif-ficulty coefficient of incorporation test paper,only the designated test average difficulty coefficient and various types of quantity can be.

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更新日期/Last Update: 2015-04-16