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Building a Community and Establishing Best Practices in Algorithm Visualization Through the Algoviz Wiki

Building a Community and Establishing Best Practices in Algorithm Visualization Through the Algoviz Wiki
通过 Algoviz Wiki 建立社区并建立算法可视化的最佳实践
批准号:
0836940
负责人:
Clifford Shaffer
金额:
$14.92万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-01-01 至 2010-12-31

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中文摘要
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英文摘要
Computer Science (31)This project expands preliminary work on the AlgoViz Wiki, http://algoviz.cs.vt.edu, to make it into a true community resource. As an outcome of this project, the AlgoViz Wiki becomes a focus point for locating algorithm visualizations (AVs), releasing new AVs, reading reviews from users, and sharing experiences about classroom use. This project helps AV developers and users connect and interact with each other, provides social support for reviewing, rating, and commenting on available AVs, and shares activities and plans for how best to use AVs. Resources for developers include information about development tools and AV toolkits, information about licensing and intellectual property policies, guidance on what works and what does not in AV design, and guidance on what topics are in greatest need of new visualizations. A SourceForge site is developed where developers can share exemplar source code for AVs, allowing new developers to see how others have solved fundamental design and development problems.Intellectual Merit: This effort improves the computing education community's understanding of how AVs can be made pedagogically effective. It leverages the collective knowledge of the community to drive better development practices and better deployment. The community can collectively identify quality instructional materials and effective modes of deployment.Broader Impact: Improving on the general availability and quality of AVs can affect the educational outcomes for tens of thousands of students every year in computer science and related disciplines. Providing a community resource on best practices improves the development of future AVs around the world. A clearing house of available AVs and documenting best practices for their use provides quality educational materials to instructors.
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Collaborative Research: CCRI: New: An Infrastructure for Sustainable Innovation and Research in Computer Science Education
Collaborative Research: Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education
Collaborative Research: Assessing and Expanding the Impact of OpenDSA, an Open Source, Interactive eTextbook for Data Structures and Algorithms
Collaborative Research: Integrating the eTextbook: Truly Interactive Textbooks for Computer Science Education
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