Authoring Neuro-fuzzy Tutoring Systems for M and E-Learning

This paper is about an author tool that can be used to produce neuro-fuzzy tutoring systems for distance and mobile environments. These tutoring systems recognize and classify learning characteristics of learners by using a neuro-fuzzy system. The author tool has three main components: a content editor for building course structure and learning material; an editor for building fuzzy sets for different linguistic variables; and an XML course interpreter which combines a neuro-fuzzy predictive algorithm to display contents on different learning platforms. The author tool builds learning objects from other learning objects which are exported to SCORM format or to mobile devices.