Personalization of learning situations within a virtual environment for training based on fuzzy clustering

Abstract

Advances in networks, computers and multimedia technology have changed traditionalmethods for learning and skills training. Nowadays, Virtual Environmentsfor Training (VET) have been popular, they can provide an environmentwhere virtual reality can be used to create interactive interfaces and real-timesoftware that can control every response and action made by the user. VEThave proven to be advantageous to put learners into varied training situationsto acquire knowledge and competencies, especially when these situations aretaking place in uncontrolled circumstances, or when they are dangerous, unrealizable,or expensive to establish in reality. However individual learners findit difficult to select suitable learning situations for their particular situationbecause often, there is no personalized service to response to the user needs.Personalization of learning in a VET is a very important way of improving theeffectiveness and the quality of the training, yet it also a complex process thatrequires consideration of several factors such as learners profiles. The goal isto associate suitable learning situations to each learner based on his profile.However, personalization of learning becomes an issue with the uncertaintyand imprecision of data that may contains a learner profile. To address thisissue, this study is an attempt to integrate a fuzzy clustering into the processof the personalization of learning.