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An online learning environment to teach artificial neural networks

Galvin, Gareth (1999) An online learning environment to teach artificial neural networks. Master of Engineering thesis, Dublin City University.

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Abstract

This thesis presents a study to evaluate the benefits of the Internet as an environment for Computer Aided Learning (CAL). It comprises of research into, current and previous approaches to CAL, and presents an implementation of the authors own approach, with the MEng (Masters in Electronic Engineering) course of Artificial Neural Networks (ANN’s) as a template upon which to develop courseware. CAL strives to stimulate the user interactively so as to facilitate an optimum knowledge transfer between teacher and student. This project will show th a t the Internet offers such features as hypertext, graphics, sound and video, which when incorporated correctly can engage the student and provide a more intuitive learning experience. Artificial Neural Networks were chosen as a template subject because of its iterative nature which lends itself well to graphical analysis. This, combined with its computationally intensive algorithms, lends itself well to a CAL environment. An evaluation of the suitability of the Internet as a CAL environment is carried out based on the courseware developed and the feedback of those who actively used the package as part of their study program. Based on these results the author intends to show the benefits of such a medium within the education system.

Item Type:Thesis (Master of Engineering)
Date of Award:1999
Refereed:No
Supervisor(s):Ringwood, John
Uncontrolled Keywords:Internet in education; Neural networks (Computer science); Study and teaching (Higher); Computer-assisted instruction
Subjects:Social Sciences > Education
Social Sciences > Educational technology
Engineering > Electronic engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License
ID Code:18743
Deposited On:30 Jul 2013 11:04 by Celine Campbell. Last Modified 30 Jul 2013 11:04

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