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
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;
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
DOI :
10.1109/ETCS.2009.207
