Title :
Neural network-based fuzzy modeling of the student in intelligent tutoring systems
Author :
Stathacopoulou, R. ; Magoulas, G.D. ; Grigoriadou, M.
Author_Institution :
Dept. of Inf., Athens Univ., Greece
Abstract :
An empirical approach that makes use of neuro-fuzzy synergism to evaluate the students in the context of an intelligent tutoring system is presented. In this way, a qualitative model of the student is generated, which is able to evaluate information regarding student´s knowledge and cognitive abilities in a domain area. The neuro-fuzzy model has been tested on a prototype tutoring system in the physics domain of the vertical projectory motions and the results have been very satisfactory
Keywords :
fuzzy neural nets; fuzzy set theory; intelligent tutoring systems; neural nets; user modelling; cognitive abilities; intelligent tutoring systems; neural network-based fuzzy modeling; neuro-fuzzy synergism; qualitative model; student modeling; vertical projectory motions; Artificial intelligence; Computer aided instruction; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Humans; Intelligent networks; Intelligent structures; Intelligent systems; Neural networks;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.836233
