The Research of the Knowledge Structure Optimization for the Virtual Reality Teaching Based on Genetic Algorithm

被引：1

作者：

Li Qing ^{[1
]}

Tao Yongqin ^{[2
]}

Han Yongguo ^{[1
]}

Wu Yadong ^{[1
]}

机构：

[1] Southwest Univ Sci & Technol, Sch Comp Sci & Technol, Sichuan 621010, Peoples R China

[2] Xian Int Univ, Engn Coll, Xian 710077, Peoples R China

来源：

2013 FOURTH INTERNATIONAL CONFERENCE ON DIGITAL MANUFACTURING AND AUTOMATION (ICDMA) | 2013年

关键词：

Genetic algorithms; virtual reality; knowledge structure;

D O I：

10.1109/ICDMA.2013.362

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the teaching and learning with virtual reality system, it is a problem that to have extensive and professional knowledge is needed. This paper has proposed a new method of knowledge structure optimization based on the genetic algorithm. Through analyzing the relationship between the correct rate of student answer, correct score rate and total score rate, the mathematical model of student knowledge structure has been constructed. The selection operator has dynamically been adjusted by genetic algorithm, which is used to optimize the structure of knowledge. Through the experiment it has been proved that the method is the feasibility and effectiveness.

引用

页码：1510 / 1513

页数：4

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