Neuro-fuzzy assessment of pupil performance based on e-learning platform implementation

Abstract

Learning and teaching process for the both, learners and teachers, could be challenging task since every learner has different cognitive preconditions. Hence every learner should have different learning material and different learning paths in order to achieve given learning goals. In this article was made an e-learning platform for teacher and learners based on object-oriented approach. In the platform every learner could has personalized learning contents based on the learners’ background. The personalized learning contents could be achieved by different learning paths for each learner. Object-oriented technique by unified modelling language (UML) was performed for the modelling process of the learning platform. Afterwards the pupil performance was analyzed after the introduction of the e-learning platform by computational intelligence approach.