DocumentCode
234338
Title
A fuzzy expert system in evaluation for E-learning
Author
Salmi, Khalid ; Magrez, Hamid ; Ziyyat, Abdelhak
Author_Institution
Electron. & Syst. Lab. (LES), Univ. Mohamed First, Oujda, Morocco
fYear
2014
fDate
20-22 Oct. 2014
Firstpage
225
Lastpage
229
Abstract
With the flourish of online education and distance learning, it´s become very important to make the evaluation in e-learning scientifically and objectively. This paper presents an intelligent fuzzy evaluation system based on our innovative evaluation method where management rules made by the experts are used to help, optimize and decide. On this basis, we develop an evaluation method and algorithm based on the fuzzy logic concepts and new information technologies. Thus, intelligent applications are possible if one wish to automate the management and decision while making an alarm system based on relevant indicators. Finally, we come up with an “expert system” that can provide some solutions to the problems of measurement theory. In addition, we present a concrete example to compare this method with the traditional one then draw conclusions on the effectiveness of this method.
Keywords
computer aided instruction; distance learning; expert systems; fuzzy logic; fuzzy systems; measurement theory; alarm system; distance learning; e-learning; fuzzy expert system; fuzzy logic; information technologies; innovative evaluation method; intelligent fuzzy evaluation system; management automation; management rules; measurement theory; online education; Decision support systems; Electronic learning; Expert systems; Fuzzy logic; Training; e-learning; e-test; evaluation; expert system; fuzzy logic; web based training;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in
Conference_Location
Tetouan
Print_ISBN
978-1-4799-5978-5
Type
conf
DOI
10.1109/CIST.2014.7016623
Filename
7016623
Link To Document