Srinivasan, Padmapriya and McLoughlin, Ian Vince and Lin, W.S. (2009) Joint audio video quality evaluation for distance or online education systems. In: 2009 IEEE 9th Malaysia International Conference on Communications (MICC). IEEE, pp. 90-97. ISBN 978-1-4244-5531-7. E-ISBN 978-1-4244-5533-1. (doi:10.1109/MICC.2009.5431472) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:48923)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1109/MICC.2009.5431472 |
Abstract
Web based/online distance education has established itself as part of the everyday operation in many universities. Since many distance education systems and processes have been adopted, and many alternative systems are available, it is necessary to place, emphasis on being able to assess the quality of operation of such systems, the educational content of the teaching and the effectiveness of the learning experience. The technical support services for good and prompt delivery of transmitted data such as voice and video are of course critical factors, but ones that we argue should not be considered in isolation. In this paper, audio/video quality analysis and the joint quality evaluation of audio and video related to the effectiveness of online/distance education is considered, with an aim to proposing an assessment metric.
Item Type: | Book section |
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DOI/Identification number: | 10.1109/MICC.2009.5431472 |
Additional information: | Unmapped bibliographic data: Y1 - 2009/// [EPrints field already has value set] |
Uncontrolled keywords: | distance learning; computer science education; educational technology; computer aided instruction; streaming media; internet; videoconference; systems engineering education; feedback; codecs |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Ian McLoughlin |
Date Deposited: | 02 Sep 2015 15:45 UTC |
Last Modified: | 05 Nov 2024 10:33 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/48923 (The current URI for this page, for reference purposes) |
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