ABSTRACT

Due to the advancements in technology, e-learning plays a critical role in the field of advanced learning technologies. Each student is having their own way of learning and hence they cannot be assessed in unique way. In Intelligent Tutoring Systems, intellectual questions have to be given to the students. The objective here is to determine the item difficulties of questions to be posed in a test that are going to be used in e-learning. Computer Based Testing is used to collect user responses to sample items. According to these user responses, item difficulties have been found using different approaches. Consequently, best approach to find item difficulty has been determined by a simple classification tool. Since using this classification tool, the best method to find item difficulties is determined, items have been classified using RRT algorithm. This classification ended up with two different results that define the future work of this study. The critical objective is to dispense intellectual questions based on classification in a precise manner to the learners up to their ability without any loss of motivation and hence there is a convinced chance of performing well later there by intent of the Intelligent Tutoring System can be achieved.