A Fuzzy-Neural Network for Classifying Learning Styles in a Web 2.0 and Mobile Learning Environment

In this paper, we present a new method for classifying student learning styles using a previously trained Fuzzy-Neural Network. We apply this method with a software tool used to produce learning objects for handheld computers like PDAs or Cell Phones, everything under a Web 2.0 collaborative learning environment. We trained the network with three different courses following Felder-Silverman model of Learning Styles. Then we add the network to an interpreter used to display learning material in Mobile devices. The interpreter show not only course material but also tracking information about learning styles used for each user or student. We present different experiments made to the network along with the tool.