Experimental data about knowledge evaluation in a distance learning system

Distance education has become an especially popular topic in recent years, mostly due to the powerful Web-based educational services offered by universities as well as the comfort of learning at home. In this paper, we present an algorithm for the testing and knowledge evaluation of the users in a Web-based distance education system. The algorithm employs fuzzy logic techniques, thus offering a linguistic expression of the estimated level of the user's knowledge. A prototype system is built in the Java language. The experimental results expose compatibility in the evaluated expert levels given by the system and the tutor, but they also emphasize the benefits of the system from the pedagogical point of view.