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- All Subjects: Education
- Creators: Computer Science and Engineering Program
Education has been at the forefront of many issues in Arizona over the past several years with concerns over lack of funding sparking the Red for Ed movement. However, despite the push for educational change, there remain many barriers to education including a lack of visibility for how Arizona schools are performing at a legislative district level. While there are sources of information released at a school district level, many of these are limited and can become obscure to legislators when such school districts lie on the boundary between 2 different legislative districts. Moreover, much of this information is in the form of raw spreadsheets and is often fragmented between government websites and educational organizations. As such, a visualization dashboard that clearly identifies schools and their relative performance within each legislative district would be an extremely valuable tool to legislative bodies and the Arizona public. Although this dashboard and research are rough drafts of a larger concept, they would ideally increase transparency regarding public information about these districts and allow legislators to utilize the dashboard as a tool for greater understanding and more effective policymaking.
This study aims to gain knowledge on how sequence patterns in node graphs can be perceived through speech and nonspeech audio. Users listened to short audio clips describing a sequence of transitions occurring in a node graph. User study results were evaluated based on accuracy and user feedback. Five common techniques were identified through the study, and the results will be used to help design a node graph tool to improve accessibility of node graph creation and exploration for individuals that are blind or visually impaired.