Fuzzified System for Learner Behavior Analysis

Identification of learning behavior is an important challenge in the education system. Learning behavior depends on many factors like learner’s interest, skill, hobbies, perception, attitude, aptitude and emotions etc. It is a dynamic parameter in the learning environment. Analysis of learning behavior helps for selecting teaching pedagogy as per learner's need and interest. To develop a personalized e-learning system it is crucial to identify the learning behavior of learners to provide the best learning experience. Through this research, we develop a fuzzified system for learner’s behavior analysis. The performance of the system is analyzed using an artificial neural network.