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Steering Committee Workshop to Build a Community for Algorithm Visualization

Steering Committee Workshop to Build a Community for Algorithm Visualization
建立算法可视化社区的指导委员会研讨会
批准号:
0839837
负责人:
Clifford Shaffer
金额:
$0.85万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-10-01 至 2009-09-30

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中文摘要
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英文摘要
Computer Science (31)This project involves the running of a workshop whose goal is to establish a steering committee that will guide the development of internet-based resources to support a developing community of users and developers of algorithm and data structure visualizations (AVs). Successful use of AVs depends on both the availability of quality educational materials and their proper deployment. The field of AV has progressed little from the mid 1990s in terms of adoption levels or total educational impact. Many developers are not making use of lessons learned. Since effective ways of developing and deploying AVs are known, these difficulties can be overcome by a cohesive community of AV developers and users. The goal of this project is to build this community. The first step to building this community is to establish a steering committee of active members in the field who help to guide creation of an integrated collection of resources and infrastructure to serve as a communications hub and information clearing house. These resources leverage the progress already made by AV developers and users to bring about wider adoption and greater successful impact in the classroom.The intellectual merit is the improvement of the computer science education community's understanding of how AVs can be made pedagogically effective. The broader impact is improving on the general availability and quality of AVs, which can affect the educational outcomes for many students every year in computer science and related disciplines. Providing a community resource on best practices improves the development of future AVs. 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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