Collaborative Research: Deep Insights Anytime, Anywhere (DIA2) - Central Resource for Characterizing the TUES Portfolio through Interactive Knowledge Mining and Visualizations

协作研究：随时随地深入洞察 (DIA2) - 通过交互式知识挖掘和可视化来表征 TUES 产品组合的中心资源

• 批准号: 1123340
• 负责人: Ann McKenna
• 金额: $ 61.61万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1123340&HistoricalAwards=false
• 关键词: Collaborative; Research; Deep; Insights; Anytime

LEAD INSTITUTION: Purdue UniversityCOLLABORATORS: Arizona State University, Stanford University and Virginia Polytechnic Institute and State UniversityPROJECT DESCRIPTIONThis TUES Central Resource Project is designed to help those engaged in improving STEM education to synthesize knowledge produced through NSF investments through a web-based knowledge mining and interactive visualization platform. The Deep Insights Anytime, Anywhere (DIA2) project allows users (e.g., current and potential principle investigators, NSF/TUES program staff, and administrators at academic institutions) to interactively mine, synthesize, and visualize data at a scale that is not possible with currently available tools. DIA2 is based upon a more narrowly scoped Interactive Knowledge Networks for Engineering Education Research (iKNEER) prototype that targeted the engineering education research community, expanding the functionality by an order of magnitude in scale; integrating newer approaches in data mining and visualization into a fully deployed system. The project has three major goals: (1) Empower the TUES community to leverage TUES investments by understanding the knowledge hidden within its networks; (2) Develop and apply cutting-edge, large-scale knowledge mining and visualization techniques for characterizing the portfolio of TUES and predecessor programs; and (3) Leverage social media optimization and integration to catalyze diffusion of TUES innovations, build a community and sustain the project impact. DIA2 enables users to explore massive amounts of data and make sense of it using a highly intuitive process. The system development approach combines theories of user-centered design, large-scale data mining, community formation, social network analysis, and interactive visualization. The project's evaluation plan includes both formative and summative approaches for documenting, testing, measuring, and sharing community outcomes, internal team working, and system performance.BROADER SIGNIFICANCEDIA2 offers a framework for understanding and characterizing the TUES program along with its predecessor programs. It makes data available to a large community of TUES users and allows them to analyze the portfolio to garner an understanding of how ideas are adopted by others in the community. It allows current and future PIs, NSF program officers and administrators at academic institutions to identify best practices and explore synergistic projects in their environments. Since DIA2 is a knowledge portal, it provides a unique opportunity to showcase work undertaken at underserved and underprivileged institutions in new and novel ways. The project team is employing a methodology that attempts to understand the needs of these communities, in order to better address the DIA2 system design requirements. Ultimately, DIA2 is focused on providing knowledge that will allow the community to increase the impact of NSF STEM investments that improve student learning.

牵头机构：普渡大学合作者：亚利桑那州立大学、斯坦福大学、弗吉尼亚理工学院和州立大学项目描述本TUES中央资源项目旨在帮助那些致力于改善STEM教育的人通过基于网络的知识挖掘和交互式可视化平台综合美国国家科学基金会投资产生的知识。Deep Insights Anytime, Anywhere （DIA2）项目允许用户（例如，当前和潜在的主要研究人员、NSF/TUES项目人员和学术机构的管理人员）交互式地挖掘、综合和可视化数据，其规模是当前可用工具无法实现的。DIA2是基于一个范围更窄的工程教育研究交互式知识网络（iKNEER）原型，目标是工程教育研究界，在规模上扩展了一个数量级的功能；将数据挖掘和可视化中的新方法集成到完全部署的系统中。该项目有三个主要目标：(1)通过了解隐藏在其网络中的知识，授权TUES社区利用TUES投资；(2)开发和应用前沿的、大规模的知识挖掘和可视化技术来表征东华理工大学及其前身项目的组合；(3)利用社会化媒体的优化和整合，催化科技大学创新成果的传播，建立社区，维持项目的影响力。DIA2使用户能够探索大量的数据，并使用一个高度直观的过程来理解它。系统开发方法结合了以用户为中心的设计、大规模数据挖掘、社区形成、社会网络分析和交互式可视化等理论。项目的评估计划包括形成性和总结性的方法，用于记录、测试、度量和共享社区成果、内部团队工作和系统性能。更广泛的意义edia2提供了一个框架，用于理解和描述TUES计划及其前身计划。它为TUES用户的大型社区提供数据，并允许他们分析投资组合，以了解社区中的其他人如何采用想法。它允许当前和未来的pi、NSF项目官员和学术机构的管理人员确定最佳实践，并在他们的环境中探索协同项目。由于DIA2是一个知识门户，它提供了一个独特的机会，以新颖的方式展示服务不足和弱势机构所开展的工作。项目团队正在采用一种方法，试图理解这些社区的需求，以便更好地处理DIA2系统设计需求。最终，DIA2的重点是提供知识，使社区能够增加NSF STEM投资的影响，从而改善学生的学习。