Authenticating student work in an e-learning programme via speaker recognition


Hayes, Barry and Ringwood, John (2009) Authenticating student work in an e-learning programme via speaker recognition. Signals, Circuits and Systems (SCS), 2009 3rd International Conference. Print ISBN: 978-1-4244-4397-0 . pp. 1-6.

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Abstract

The past decade has seen the proliferation of elearning and distance learning programs across a wealth of discipline areas. In order to preserve maximum exibility in outreach, student assessment based exclusively on remotely submitted work has become commonplace. However, there is also growing evidence that e-learning also provides increased opportunity for plagiarism, with obvious consequences for learning effectiveness. This paper reports on the development of a prototype student authentication system, designed for use with a graduate e-learning program. The proposed system can be used to authenticate telephone-based oral examination which can, in turn, be used to conrm a student’s ability in relation to submitted assignments and on-line test results. The prototype low-cost system is shown to be sufciently accurate to act as an effective deterrent against plagiarism.

Item Type: Article
Keywords: e-learning; plagiarism; speaker recognition;
Academic Unit: Faculty of Science and Engineering > Electronic Engineering
Item ID: 2125
Depositing User: Professor John Ringwood
Date Deposited: 22 Sep 2010 15:41
Journal or Publication Title: Signals, Circuits and Systems (SCS), 2009 3rd International Conference. Print ISBN: 978-1-4244-4397-0
Publisher: IEEE
Refereed: Yes
URI:

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