Learner Model for Automatic Detection of Learning Style Using FCM in Adaptive E-Learning System
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract : The aim of this paper is to introduce an automatic student modeling approach for identifying learning style in learning management systems according to Felder Silverman Learning Style Model (FSLSM).This paper proposes the use of fuzzy cognitive maps FCMs as a tool for identifying learner’s learning style to individualizing each learner’s according to their needs. FCMs are a soft computing tool which is a combination of fuzzy logic and neural network. Result shows that according to this model student learning style can be detected which give high precision value
Authors and Affiliations
Soni Sweta , Kanhaiya Lal
Keywords
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