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
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;
Conference_Titel :
Information Science and Technology (CIST), 2014 Third IEEE International Colloquium in
Conference_Location :
Tetouan
Print_ISBN :
978-1-4799-5978-5
DOI :
10.1109/CIST.2014.7016623