Exploring Introduction of High Performance Computing and Big Data in High Schools

探索高中引入高性能计算和大数据

• 批准号: 1841694
• 负责人: Yumei Huo
• 金额: $ 5万
• 依托单位: CUNY College of Staten Island
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1841694&HistoricalAwards=false
• 关键词: Exploring; Introduction; Performance; Computing; Big

Many high schools across the nation offer programs in science, technology, mathematics, and engineering (STEM), and a lot of high school students pursue related majors in the post-secondary study. To meet the urgent workforce need, early exposure to high performance computing and big data in high schools can help attract more students to choose related majors in colleges. This requires the stakeholders including academia, industry, high school administration, and instructors to work together to address the concerns. This project has the experts from academia provide training support to high school instructors in high performance computing and big data, and the professionals from industry helping bring the cutting-edge technologies and real life examples and experience to high school administration and instructors. High school instructors are expected to develop and offer high performance computing and big data courses in their schools after the training. By inviting all the stakeholders and training high school instructors, the workshop aims to collect feedback about contents of materials, training effectiveness, and covered topics for developing a complete training model for high school instructors. This project, thus, aligns with NSF's mission to promote the progress of science by exploring scientific workforce development pipeline.The workshop invites high school administration and instructors from New York Metropolitan Area in an effort to provide exposure of high performance computing and big data, especially instructors from science, technology, mathematics, and engineering, through carefully designed tutorials. In addition to improving the awareness via tutorials and invited talks, the workshop also aims to prepare for developing an informal and cross-training model for high school instructors and designing the related advanced placement or elective courses for high school students. By convening three parties including academia, industry, and high schools and looking at the problem from different perspectives, the organizers aim to gain new insight into the education of high performance computing and big data at high school level and obtain crucial evidences to design and implement the cross-training model. The trained high school teachers are expected to infuse the training materials into their computer science related courses and/or develop new advanced placement or elective high performance computing and big data courses. The findings from the workshop are broadly disseminated in the research and educational communities.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.

全国各地的许多高中都提供科学，技术，数学和工程（STEM）课程，许多高中生在中学后学习中攻读相关专业。为了满足迫切的劳动力需求，在高中早期接触高性能计算和大数据可以帮助吸引更多的学生在大学选择相关专业。这需要包括学术界、工业界、高中管理部门和教师在内的利益相关者共同努力解决这些问题。该项目由学术界的专家为高中教师提供高性能计算和大数据方面的培训支持，并由工业界的专业人士帮助将前沿技术和真实的生活实例和经验带给高中管理和教师。培训结束后，高中教师将在他们的学校开发和提供高性能计算和大数据课程。通过邀请所有利益相关者和培训高中教师，研讨会旨在收集有关材料内容，培训效果和涵盖主题的反馈，以制定一个完整的高中教师培训模式。 本次研讨会邀请了来自纽约大都会区的高中管理人员和教师，特别是来自科学、技术、数学和工程领域的教师，通过精心设计的教程，让学生接触高性能计算和大数据。除了通过辅导和邀请演讲提高认识外，研讨会还旨在为高中教师开发非正式和交叉培训模式做准备，并为高中学生设计相关的高级安置或选修课程。通过召集学术界，工业界和高中三方，从不同的角度看待问题，组织者旨在对高中水平的高性能计算和大数据教育获得新的见解，并获得设计和实施交叉培训模型的关键证据。培训后的高中教师预计将注入到他们的计算机科学相关课程的培训材料和/或开发新的先进的安置或选修高性能计算和大数据课程。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。