Testing Paper Optimization Based on Improved Particle Swarm Optimization

被引：0
|
作者：
Du, Xiang-Ran [1 ]
Wu, Shu-Jin [1 ]
He, Yu-Lin [1 ]
机构：
[1] Tianjin Maritime Coll, Tianjin, Peoples R China
来源：
RECENT DEVELOPMENTS IN INTELLIGENT SYSTEMS AND INTERACTIVE APPLICATIONS (IISA2016) | 2017年 / 541卷
关键词：
Artificial intelligence; Evaluation function; Examination system; Particle swarm optimization; Self-learning; DESIGN;
D O I：
10.1007/978-3-319-49568-2_1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Computerized Examination System is an important part in computer aided education, which not only examines the learning outcome of every candidate, but also provides feedback for further improvement. The construction of the computerized examination system is time consuming and requires plenty of domain as well as pedagogy related information. This paper presents an examination sheet optimization based on the improved particle swarm optimization. The results obtained from the study show that the improved particle swarm optimization effectively enhance the effectiveness level of the computerized examination system without the help of the educational experts after a lot of training.
引用
收藏
页码：3 / 9
页数：7
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