DocumentCode :
493486
Title :
Application of PCA in Assessing Influential Factors and Characteristics of Modern Distance Education in Rural Area
Author :
Qu Zhiming ; Wang Xiaoli
Author_Institution :
Sch. of Civil Eng., Hebei Univ. of Eng., Handan
Volume :
1
fYear :
2009
fDate :
7-8 March 2009
Firstpage :
460
Lastpage :
464
Abstract :
According to mathematical analysis, the primary components analysis (PCA) is used to analyze the effect of influential factors and characteristics on modern distance education (MDE). Based on PCA model and, the results are computed. Through case study, it can be seen that some factors and characteristics play very important role in influencing MDE and all factors and characteristics should be taken into account because the effect depends on the interaction. Through analysis and discussion, it is concluded that, under the premise of minimizing the information loss of data, the application of PCA in analyzing effect on MDE in rural area is approved to be practicable.
Keywords :
distance learning; statistical analysis; PCA; influential factor assessment; mathematical analysis; modern distance education; primary components analysis; rural area; Application software; Computer science; Computer science education; Cultural differences; Distance learning; Educational technology; Information analysis; Investments; Model driven engineering; Principal component analysis; PCA; influential factors and characteristics; mathematical model; modern distance education;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
Type :
conf
DOI :
10.1109/ETCS.2009.111
Filename :
4958814
Link To Document :
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