DocumentCode
493559
Title
Study of Student Model Based on Improved Genetic Algorithms
Author
Sun, Zhong-Hong ; Su, Qing-Tang ; Wang, Jing-Lian
Author_Institution
Teaching Div. of Modern Educ. Technol., Ludong Univ., Yantai
Volume
1
fYear
2009
fDate
7-8 March 2009
Firstpage
912
Lastpage
915
Abstract
Aiming at the individuation problems of network teaching system, the improved genetic algorithms with decision tree is adopted in this paper so that the student model is divided into four categories according to the studentpsilas interest, fancy, knowledge state, learning history, psychology factor, cognitive ability and so on. A personalized learning circumstance is provided for students.
Keywords
genetic algorithms; teaching; data classification; genetic algorithms; personalized network teaching system; student model; Classification tree analysis; Computer science education; Databases; Decision trees; Educational technology; Genetic algorithms; History; Intelligent networks; Psychology; Space technology; data classification; genetic algorithms; personalized network teaching system; student model;
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.2009.207
Filename
4958911
Link To Document