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

Content Provider	IEEE Xplore Digital Library
Author	Cabada, R.Z. Estrada, M.L.B. Cabada, R.Z. Garcia, C.A.R.
Copyright Year	2009
Abstract	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.
Starting Page	177
Ending Page	182
File Size	1383605
Page Count	6
File Format	PDF
ISBN	9780769538563
DOI	10.1109/LA-WEB.2009.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-11-09
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer displays Handheld computers learning styles Cellular phones authoring tool Collaborative work web 2.0 Software tools Personal digital assistants mobile learning
Content Type	Text
Resource Type	Article

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