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

Author

Li Qing ; Tao Yongqin ; Han Yongguo ; Wu Yadong

Author_Institution

Sch. of Comput. Sci. & Technol., Southwest Univ. of Sci. & Technol., Mianyang, China

fYear

2013

fDate

29-30 June 2013

Firstpage

1510

Lastpage

1513

Abstract

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.

Keywords

computer aided instruction; genetic algorithms; virtual reality; correct score rate; genetic algorithm; mathematical model; professional knowledge; student knowledge structure optimization; total score rate; virtual reality system; virtual reality teaching; Automation; Manufacturing; Genetic algorithms; knowledge structure; virtual reality;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on

Conference_Location

Qingdao

Type

conf

DOI

10.1109/ICDMA.2013.362

Filename

6598286