DocumentCode
2212596
Title
Notice of Retraction
Research into Dynamic Student Module and Intelligent Tutoring System
Author
Zhang Zong-biao ; Huang Xiao-ying
Author_Institution
Modern Educ. Technol. Center, Zhejiang Shuren Univ., Hangzhou, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
3413
Lastpage
3416
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
By analyzing serious flaws that exist in the current elearning systems in the areas of adoptability and individualization, based on empirical data collected during tutoring system development process, utilizing key technologies such as fuzzy evaluation method and neural network, distance elearners´ behavioral and performance data is obtained in the context of Intelligent Tutoring System (ITS). The establishment and evaluation of dynamic student models were studied, while adapting tutoring strategy to the learning characteristics of different classes of students. Finally, an ITS based on such student model is outlined.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
By analyzing serious flaws that exist in the current elearning systems in the areas of adoptability and individualization, based on empirical data collected during tutoring system development process, utilizing key technologies such as fuzzy evaluation method and neural network, distance elearners´ behavioral and performance data is obtained in the context of Intelligent Tutoring System (ITS). The establishment and evaluation of dynamic student models were studied, while adapting tutoring strategy to the learning characteristics of different classes of students. Finally, an ITS based on such student model is outlined.
Keywords
distance learning; fuzzy set theory; intelligent tutoring systems; neural nets; behavioral data; distance learning; dynamic student module; e-learning systems; fuzzy evaluation; intelligent tutoring system; neural network; performance data; tutoring system development process; Artificial intelligence; Databases; Educational technology; Electronic learning; Fuzzy neural networks; Fuzzy systems; Intelligent networks; Intelligent systems; Neural networks; Psychology;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.905
Filename
5454723
Link To Document