空军预警学院学报2015，Vol.29Issue(2)：122-126,130,6.DOI:10.3969/j.issn.2095-5839.2015.02.012
空军军事职业教育考试系统智能组卷方法研究
Research on smart test paper generation for air force military occupation education examination
王卫疆 1朱奕杰 2房莉 1张铁毅3
作者信息
- 1. 空军预警学院,武汉,430019
- 2. 空军职教部,北京,100038
- 3. 空军装备部,北京,100038
- 折叠
摘要
Abstract
Directing at the features that the exam courses, personnel, region and surroundings are complex, and their organization and implementation could not affect the operational training and the like in Air Force military vocational education, this article proposes a method of hierarchy dimensionality reduction and optimization, and smart generating the test paper, by taking strategy of smart organizing the test paper of large scale computer-exam system based on multi-target and multi course. In this scheme, the exposure of test questions is controlled, and the data/files are encrypted in the stage of drawing the questions for setting up a question bank, and the banks are distributed on demand for integration, thus sharing the test processing data size of exam rooms. In the stage of drawing the questions for generating question paper, the algorithm of real-time generating test paper of exam client-side is used, based on the strategy of load balancing, the solution algorithm of knapsack problem is applied and the algorithm of generating question paper is optimized by partitioning the level of constraint condition of generating question paper, thus lowering the dimensionality of stochastic heuristic search algorithm. By practicing it is proved that this proposed method of generating question paper can enhance the success rate of generating question paper for all types of large, medium and small size of question banks and the quality of real time generating teat paper of exam room.关键词
空军军事职业教育考试/智能组卷/组卷策略/实时组卷Key words
Air Force military vocational education examination/smart generating the test paper/strategy of test paper-setting/real-time generating teat paper分类
信息技术与安全科学引用本文复制引用
王卫疆,朱奕杰,房莉,张铁毅..空军军事职业教育考试系统智能组卷方法研究[J].空军预警学院学报,2015,29(2):122-126,130,6.
