DocumentCode :
3030340
Title :
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
Link To Document :
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