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Inclusion of deaf students in computer science classes using real-time speech transcription

Published:25 June 2007Publication History

ABSTRACT

Computers increasingly are prevalent in the classroom, with student laptops becoming the norm, yet some beneficial uses of this widespread technology are being overlooked. Speech recognition software is maturing, and possesses the potential to provide real-time note taking assistance in the classroom, particularly for deaf and hard of hearing students. This paper reports on a practical, portable and readily deployed application that provides a cost-effective, automatic transcription system with the goal of making computer science lectures inclusive of deaf and hard of hearing students. The design of the system is described, some specific technology choices and implementation approaches are discussed, and results of two phases of an in-class evaluation of the system are analyzed. Ideas for student research projects that could extend and enhance the system also are proposed.

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          • Published in

            cover image ACM Conferences
            ITiCSE '07: Proceedings of the 12th annual SIGCSE conference on Innovation and technology in computer science education
            June 2007
            386 pages
            ISBN:9781595936103
            DOI:10.1145/1268784
            • cover image ACM SIGCSE Bulletin
              ACM SIGCSE Bulletin  Volume 39, Issue 3
              Proceedings of the 12th annual SIGCSE conference on Innovation and technology in computer science education (ITiCSE'07)
              September 2007
              366 pages
              ISSN:0097-8418
              DOI:10.1145/1269900
              Issue’s Table of Contents

            Copyright © 2007 ACM

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 25 June 2007

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            ITiCSE '07 Paper Acceptance Rate62of210submissions,30%Overall Acceptance Rate552of1,613submissions,34%

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