Personalization of learning activities within a virtual environment for training based on fuzzy logic theory

Abstract

Virtual Environments for Training (VET) are useful tools for visualization, discovery as well as for training. VETs are based on virtual reality technique to put learners in training situations that emulate genuine situations. VETs have proven to be advantageous in putting learners into varied training situations to acquire knowledge and competencies, especially when these situations are taking place in uncontrolled circumstances, or when they are dangerous, unrealizable, or expensive to establish in reality. However individual learners find it difficult to select suitable activities for their particular situations because there is no personalized service to respond to the user needs. The solution is to generate learning activities based on learner's profile. Yet, a learner's profile may contain uncertain data (such as the desired level of difficulty, etc). This paper presents an attempt to introduce the concepts of fuzzy set theory the design of an online educational module. Such a module can deal with uncertainties in the knowledge acquisition, representation and decision making. The fuzzy logic principles are used to create the learner profile and to provide the appropriate learning activities to each learner according to his/her profile.