DocumentCode :
3232577
Title :
Evaluation and analysis on the relation between the configurations of computer major course and graduation employment rate
Author :
Lie, Pan ; Xun, Wang ; Chai, Chunlai
Author_Institution :
Coll. of Comput. Sci. & Inf. Eng., Zhejiang GongShang Univ., Hangzhou, China
fYear :
2009
fDate :
25-28 July 2009
Firstpage :
1559
Lastpage :
1564
Abstract :
With the great pressure on employment under current financial crisis, this paper presents hierarchical analysis theory to evaluate the correlation between the configurations of computer major course and employment rate, so as to improve the course configuration and enhance the employment rate. This paper analyzes three provincial colleges with different characteristics, dividing computer major course into four groups. Through different weights on enquiry and scoring by specialists, combining student ability, a comprehensive evaluation model is set up. YAAHP hierarchical analyzing is used to calculate the influence of computer courses on the employment rate, and the result is quite robust. Through empirical training could improve the practical ability and increase the competitive of employment. Maintaining and enhancing specialized course training is closely related to employment rate.
Keywords :
computer science education; educational courses; employment; YAAHP hierarchical analysis; comprehensive evaluation model; computer major course; financial crisis; graduation employment rate; hierarchical analysis theory; Computer applications; Computer architecture; Computer science; Computer science education; Educational institutions; Employment; Information analysis; Maintenance engineering; Robustness; Software; Graduation employment rate; YAAHP; course configuration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
Type :
conf
DOI :
10.1109/ICCSE.2009.5228331
Filename :
5228331
Link To Document :
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