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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

项目摘要

项目成果

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中文摘要
翻译
计算机科学(31)这个项目扩展了AlgoViz Wiki的初步工作,http://algoviz.cs.vt.edu,使其成为一个真正的社区资源。作为该项目的成果,AlgoViz Wiki成为定位算法可视化(AV),发布新AV,阅读用户评论以及分享课堂使用经验的焦点。该项目帮助AV开发人员和用户相互联系和互动,为审查,评级和评论可用AV提供社会支持,并分享如何最好地使用AV的活动和计划。面向开发人员的资源包括有关开发工具和AV工具包的信息、有关许可和知识产权政策的信息、有关AV设计中哪些有效哪些无效的指导以及有关哪些主题最需要新可视化的指导。开发者可以在SourceForge网站上分享AV的示例源代码,让新的开发者可以看到其他人是如何解决基本设计和开发问题的。智力价值:这一努力提高了计算教育社区对如何使AV在教学上有效的理解。它利用社区的集体知识来推动更好的开发实践和更好的部署。社区可以共同确定高质量的教学材料和有效的部署模式。更广泛的影响:提高AV的普遍可用性和质量每年可以影响计算机科学和相关学科数万名学生的教育成果。提供有关最佳实践的社区资源有助于促进全球未来无人驾驶汽车的发展。一个现有AV的信息交换所,并记录使用AV的最佳做法,为教员提供高质量的教育材料。
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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会议论文
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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