Research Sample Profiling

研究样本分析

• 批准号: 1057682
• 负责人: David Schoeneck
• 金额: $ 8.4万
• 依托单位: Search Technology Inc
• 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: 2010-09-15 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1057682&HistoricalAwards=false
• 关键词: Research; Sample; Profiling

The goal of the project is to understand the multidisciplinary and interdisciplinary (MIDR) nature of education and learning research and how it has developed over time, with a focus on cognitive science, an area of particular importance to education research. Investigators from Search Technology Inc will study proposals funded by two NSF education research programs (ROLE and REESE). Using bibliometric methods they devised, they will examine the references cited in the proposals to characterize the MIDR nature of the projects. They will also analyze the publications produced by the projects and track the dissemination of that research knowledge via the papers that cite those publications. The investigators will focus additionally on the work of key cognitive scientists and highly-cited ROLE/REESE-derived publications. Using social network analysis and science mapping, the investigators will track STEM community engagement with this educational research.The project seeks to advance measurement, analysis, and visualization tools to help quantify science and science policy. In particular, these offer empirical evidence on much-touted, but little measured, MIDR. The results should have important implications for STEM education researchers who wish to understand trends in their fields, for cognitive science and education research communities that have traditionally not engaged one another's literatures, and for science policy analysts and program developers.

该项目的目标是了解教育和学习研究的多学科和跨学科(MIDR)性质，以及它是如何随着时间的推移而发展的，重点是认知科学，这是一个对教育研究特别重要的领域。来自搜索技术公司的调查人员将研究由两个NSF教育研究项目(Role和Reese)资助的提案。使用他们设计的文献计量学方法，他们将检查提案中引用的参考文献，以表征项目的MIDR性质。他们还将分析这些项目产生的出版物，并通过引用这些出版物的论文跟踪研究知识的传播情况。调查人员还将把重点放在关键认知科学家的工作和经常被引用的角色/里斯衍生出版物上。利用社会网络分析和科学地图，研究人员将跟踪STEM社区对这项教育研究的参与。该项目寻求改进测量、分析和可视化工具，以帮助量化科学和科学政策。特别是，这些为备受吹捧但几乎没有衡量的MIDR提供了经验证据。这一结果应该对希望了解各自领域趋势的STEM教育研究人员、传统上不参与彼此文献交流的认知科学和教育研究社区以及科学政策分析师和项目开发人员具有重要意义。