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: 1444277
• 负责人: Aditya Johri
• 金额: $ 37.23万
• 依托单位: George Mason University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-18 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1444277&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.

主要机构：普渡大学企业家：亚利桑那州立大学，斯坦福大学和弗吉尼亚理工学院和州立大学专业研究所描述中央资源项目旨在帮助人们通过基于Web的知识挖掘和交互式可视化平台来改善STEM教育的人，以合成通过NSF投资产生的知识。深度见解随时随地（DIA2）项目允许用户（例如，当前和潜在的主要调查人员，NSF/TUES计划人员和学术机构的管理员）可以在当前可用的工具上进行交互式挖掘，合成和可视化数据。 DIA2基于一个针对工程教育研究社区的工程教育研究（IKNEER）原型的更狭窄的互动知识网络（Ikneer）原型，将功能扩展到规模的数量级；将数据挖掘和可视化中的较新方法集成到完全部署的系统中。该项目具有三个主要目标：（1）通过了解其网络中隐藏的知识来授权周二社区利用周二的投资； （2）开发和应用最先进的大规模知识挖掘和可视化技术来表征周二和前身计划的投资组合； （3）利用社交媒体的优化和整合来催化周二创新的扩散，建立社区并维持项目的影响。 DIA2使用户可以探索大量数据，并使用高度直观的过程来理解数据。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，社交网络分析和交互式可视化的理论。该项目的评估计划包括用于记录，测试，测量和共享社区成果，内部团队工作和系统绩效的形成性和总结方法。BRODERADENANGEANGACIA2提供了一个框架，以了解和表征周二计划以及其前身计划。它使数据可用于大型星期二用户的社区，并允许他们分析投资组合，以了解社区中其他人如何采用想法的理解。它允许当前和未来的PI，NSF计划官员和学术机构的管理人员确定最佳实践并探索其环境中的协同项目。由于DIA2是一个知识门户，因此它提供了一个独特的机会，可以通过新的和新颖的方式展示在服务不足和贫困机构进行的工作。项目团队正在采用一种试图了解这些社区需求的方法，以便更好地满足DIA2系统设计要求。最终，DIA2专注于提供知识，以使社区能够增加NSF STEM投资的影响，从而改善学生学习。