Proceedings of the Fourth International ACM Conference on Assistive Technologies 2000
DOI: 10.1145/354324.354356
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A Java programming tool for students with visual disabilities

Abstract: This paper reports on a tool for assisting students with visual disabilities in learning how to program. The tool is meant to be used by computer science majors learning the programming language Java. As part of the developmental process of building this tool, we have implemented a rapid prototype to be used by people with disabilities in order to define appropriate requirements for the full version of the tool. This requires that the prototype is completely usable via a keyboard and speech interface, and it i… Show more

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Cited by 43 publications
(9 citation statements)
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“…We believe that for higher level tasks there should be interfaces to allow an adequate access to visual programming such as in [12]. Our proposal goes in a different direction.…”
Section: Resultsmentioning
confidence: 99%
“…We believe that for higher level tasks there should be interfaces to allow an adequate access to visual programming such as in [12]. Our proposal goes in a different direction.…”
Section: Resultsmentioning
confidence: 99%
“…Researchers at St. Mary's University and Winona State University have been collaborating on a project to investigate how the computing curriculum can be made more accessible to students with visual impairments, through the use of commercial assistive technology and through the development of a tool to support Java programming [4,10]. Researchers at Curtin University have worked with Cisco Systems to develop an accessible version of the Cisco Network Academy Program's e-learning environment [8].…”
Section: Related Workmentioning
confidence: 99%
“…A simpler prototype version of JavaSpeak was introduced at ACM's Assets 2000 conference [13]. This version included a basic editor and was able to parse a program to generate the speech renderings, but it did not offer all the current levels nor operate as a full compiler.…”
Section: Figure 3 Code Segmentmentioning
confidence: 99%