In order to maintain the training quality and ensure efficient learning, the introduction of a scalable and well-adapted evaluation system is essential. An adequate evaluation system will positively involve students in the evaluation of their own learning, as well as providing teachers with indicators on the student's strengths, the specific encountered difficulties and the false or misunderstood studied parts. In this context, we present, in this article, a novel intelligent evaluation methodology based on fuzzy logic and knowledge based expert systems. The principle of this methodology is to reify abstract concepts of a human expertise in a numerical inference engine applied to evaluation. It reproduces, therefore, the cognitive mechanisms of evaluation experts. An im-plementation example is presented to compare this method with the classical one and draw conclusions about its efficiency. Furthermore, thanks to its flexibility, different kinds of extensions are possible by updating the basic rules and adjusting to possible new architectures and new types of evaluation.
Vision plays an important role in improving comprehension and perception of electromagnetic fields. One reason electromagnetic fields is considered by students to be a difficult course is because electromagnetic fields, being vector functions of space and time, unlike mechanics, which deals with concrete objects, are conceptually abstract and hard to visualize. Invisibility is a considerable obstacle on the way to understanding physical phenomena. To overcome this obstacle, we present in this paper some interactive simulations mainly developed for educational purposes in electromagnetics in order to facilitate the understanding of field theory and vector analysis. This interactive simulations can be used as a virtual laboratory where students can explore the solutions on their own efforts and in every detail, hence, deepening their understanding of the subject matter.
with the flourish of online education and distance learning, it's become very important to make the evaluation in elearning scientifically and objectively. This paper presents an intelligent fuzzy evaluation system based on our innovative evaluation method where management rules made by the experts are used to help, optimize and decide. On this basis, we develop an evaluation method and algorithm based on the fuzzy logic concepts and new information technologies. Thus, intelligent applications are possible if one wish to automate the management and decision while making an alarm system based on relevant indicators. Finally, we come up with an "expert system" that can provide some solutions to the problems of measurement theory. In addition, we present a concrete example to compare this method with the traditional one then draw conclusions on the effectiveness of this method.
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