RAPID: Collaborative Proposal: Development of Digital Models of Minerals and Rocks for Online Geoscience Classes

RAPID：合作提案：为在线地球科学课程开发矿物和岩石数字模型

• 批准号: 2035243
• 负责人: Graham Andrews
• 金额: $ 3.32万
• 依托单位: West Virginia University Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2035243&HistoricalAwards=false
• 关键词: RAPID; Collaborative; Proposal; Development; Digital; RAPID; Collaborative; Proposal; Development; Digital

The sudden shift to remote online teaching due to the COVID-19 crisis has especially impacted laboratory classes. Petrologists and mineralogists have created three-dimensional models of rock and mineral specimens, which are available online. The commercial site that hosts these does not include a searchable database. This project will create a searchable database and copy the models to a university-hosted server. Additional specimens will be added.Image-processing has become routine, which has made it practical to create visually and topologically accurate representation of geologic specimens. Teachers have been creating these images and putting them on a commercial website for the use of the wider community. The problem is that this collection of hundreds of virtual specimens is not searchable. The PIs will create a searchable database with the specific metadata that will be useful to science teachers. Moreover, the virtual specimens will also be copied to a university-hosted server, which will assure access for years. Additional specimens will be imaged. This virtual collection has become vital in the time of COVID-19 and a shift to widespread online instruction.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

由于Covid-19危机，突然转向远程在线教学的转变特别影响了实验室课程。岩石学家和矿物学家创建了三维岩石和矿物标本的模型，可在线获得。托管这些的商业网站不包括可搜索的数据库。该项目将创建一个可搜索的数据库，并将模型复制到大学托管服务器。将添加其他标本。图像处理已成为常规，这使得在视觉和拓扑准确的地质标本中创建实用性。老师一直在创建这些图像，并将它们放在商业网站上，以供更广泛的社区使用。问题在于，该数百个虚拟标本的集合无法搜索。 PI将创建一个具有特定元数据的可搜索数据库，对科学教师有用。此外，虚拟标本还将被复制到大学托管的服务器，该服务器将确保多年的访问权限。将成像其他标本。这个虚拟的收藏在19日期和广泛的在线指导时期已经至关重要。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的审查标准，被认为值得通过评估来获得支持。