Collaborative Research: Oceans of Data - What is Needed to Support Students' Learning with Large Scientific Databases?

协作研究：数据海洋 - 需要什么来支持学生使用大型科学数据库进行学习？

• 批准号: 1019644
• 负责人: Cheryl Peach
• 金额: $ 6.9万
• 依托单位: University of California-San Diego Scripps Inst of Oceanography
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1019644&HistoricalAwards=false
• 关键词: Collaborative; Research; Oceans; Data; What

This DR K-12 Exploratory Project conducted by Education Development Center, Inc.(EDC) and The Scripps Institution of Oceanography (Scripps)will address the question: In what ways can research on learning inform the design of interfaces and technology tools to be used by students accessing large scientific data bases? Expertise about this question is scattered among a variety of disciplines, including: science education research related to geology, climate science, and ecology; mathematics and statistics education research; and educational psychology. Consequently, there is no synthesis of knowledge about how to support precollege students' and teachers' use of large scientific data bases. Oceans of Data will therefore (1) conduct a systematic survey of the widely-dispersed research literature and (2) develop and disseminate a knowledge status report, a resource offering guidance for making these large scientific data bases accessible to and usable by high school science classes. This report will inform the work of three target audiences: (1) large science cyberinfrastructure projects concerned with serving student users; (2) intermediary developers (e.g., publishers, research and development organizations, and software development companies) of digital interfaces and tools that can make cyberinfrastructure data appropriate for use by pre-college learners; and (3) education researchers. Most immediately, the project results will be applied directly to the NSF-funded Ocean Observatory Initiative (OOI) cyberinfrastructure project at Scripps. The project design for developing this resource involves a multi-stage review, coding, and analysis of the literature. The domain matrix framing this effort consists of processes (engagement, data access, data viewing, data selection, data manipulation, and data interpretation) as related to interfaces and technology tools (visualizations, graphical representation, statistical analysis tools, and scaffolds). Work will be conducted under the aegis of an advisory committee: researchers and technology developers in the above-mentioned domains, expert teachers, and individuals representing the target audiences. Advisors will also evaluate the resulting product, as will an additional cadre of targeted end-users. The Oceans of Data knowledge status report will present: the literature review results; recommendations for designing effective interfaces and technology tools for students; guidelines, based on tenets of universal design for learning (UDL) for designing software for diverse student populations; and suggested avenues for future research to address identified gaps. The project therefore will enable the bridging of science cyberinfrastructure projects in a number of disciplines with pre-college education. Ultimately, students will have unprecedented opportunities to analyze and draw conclusions from cyberinfrastructure data and, thus, to engage in new modes of data-driven science practice.

这个DR K-12探索性项目由教育发展中心，公司进行。(EDC)斯克里普斯海洋学研究所（斯克里普斯）将解决这个问题：以什么方式研究学习通知接口和技术工具的设计，供学生访问大型科学数据库？关于这个问题的专业知识分散在各种学科中，包括：与地质学，气候科学和生态学有关的科学教育研究;数学和统计学教育研究;以及教育心理学。因此，没有关于如何支持大学预科学生和教师使用大型科学数据库的综合知识。因此，数据海洋将（1）对广泛分散的研究文献进行系统调查，（2）开发和传播知识状况报告，这是一种资源，为高中科学课程提供这些大型科学数据库的访问和使用提供指导。本报告将介绍三个目标受众的工作：（1）为学生用户服务的大型科学网络基础设施项目;（2）中介开发人员（例如，出版商、研究和开发组织以及软件开发公司）的数字接口和工具，这些数字接口和工具可以使网络基础设施数据适合大学前学习者使用;以及（3）教育研究人员。最直接的是，该项目的成果将直接应用于由美国国家科学基金会资助的斯克里普斯海洋观测计划（OOI）网络基础设施项目。开发这一资源的项目设计包括多阶段的文献回顾、编码和分析。 构建这一工作的领域矩阵由与界面和技术工具（可视化、图形表示、统计分析工具和支架）相关的过程（参与、数据访问、数据查看、数据选择、数据操作和数据解释）组成。工作将在一个咨询委员会的主持下进行，该委员会由上述领域的研究人员和技术开发人员、专家教师和代表目标受众的个人组成。顾问们还将评价所产生的产品，另外一批目标最终用户也将评价。 数据海洋知识状况报告将介绍：文献审查结果;为学生设计有效界面和技术工具的建议;基于通用学习设计原则的指导方针，为不同的学生群体设计软件;以及为未来研究提出的解决已查明差距的途径。因此，该项目将能够将一些学科的科学网络基础设施项目与大学预科教育联系起来。最终，学生将有前所未有的机会从网络基础设施数据中分析和得出结论，从而参与数据驱动的科学实践的新模式。