Collaborative Research: CyberTraining: Implementation: Medium: FOUNT: Scaffolded, Hands-On Learning for a Data-Centric Future

协作研究：网络培训：实施：媒介：FOUNT：支架式实践学习，打造以数据为中心的未来

• 批准号: 2230081
• 负责人: Ilkay Altintas
• 金额: $ 17.5万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2230081&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberTraining; Implementation; Medium

Data informs decisions throughout our lives, and its importance keeps growing in a data-centric society and future. Scientists, educators, students, and the workforce at large require advanced skills to learn how to manage and process massive amounts of data efficiently and accurately. The nation's future as a global leader of innovations depends on having a large, versatile, and adaptable data-proficient workforce. Training this workforce, however, is challenging and requires significant hands-on skills in data systems where the constantly evolving hardware architectures, networking technologies, or changing price-performance ratios create unprecedented opportunities but also an urgent need for thorough and ongoing education in topics ranging from data acquisition, computer networking, storage systems, machine learning and data analytics, and visualization.This project develops a FOUNT of scaffolded, educational modules, or courselets, in the rapidly developing field of data systems, that provide shared educational content executable on Chameleon and other open clouds and testbeds. The courselets are based on the concept of literate programming and enable students to explore concepts and methods taught in the classroom via hands-on exercises – and then modify and extend those exercises in various ways to deepen their understanding and explore new ideas. Students can find relevant courselets through a content hub, integrated with open clouds and testbeds, so that they can deploy them “with one click”, making exploration-based learning readily available. Ultimately, the project aims to translate its experience of creating, teaching, supporting, and improving courselets into a set of best practices, and build a vibrant community of students, teachers – and contributors across all types of academic institutions, and thereby create a model of digital sharing that will improve availability of digital educational content to all members of our society.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.

数据为我们一生的决策提供了信息，其重要性在以数据为中心的社会和未来中不断增长。科学家，教育工作者，学生和劳动力的庞大所需的高级技能，以学习如何有效，准确地管理和处理大量数据。国家作为全球创新领导者的未来取决于拥有大型，多才多艺且适应能力的劳动力。但是，培训该劳动力是挑战，需要在数据系统中进行重要的动手技能，在这些数据系统中，不断发展的硬件体系结构，网络技术或更改价格的绩效比率会创造前所未有的机会，同时也需要迫切需要彻底和持续的教育或Courselets在快速发展的数据系统领域中，可以在变色龙和其他开放云和测试床上可执行共享的教育内容。这些课程基于识字编程的概念，并使学生能够通过动手练习探索课堂上教授的概念和方法，然后以各种方式修改和扩展这些练习，以加深他们的理解并探索新的想法。学生可以通过内容中心与开放式云和测试床集成在一起，从而“一键单击”部署它们，从而使基于探索的学习易于可用，从而找到相关的课程。最终，该项目旨在将其创建，教学，支持和改善课程的经验转化为一系列最佳实践，并建立一个充满活力的学生，教师，教师和各种学术机构的贡献者的社区，从而创建一个数字共享模型，从而创建一个通过我们的社会来改善诚实的数字教育内容的数字共享模型。智力优点和更广泛的影响审查标准。