RET Site: Machine Learning and Smart System Design

RET 网站：机器学习和智能系统设计

• 批准号: 2206953
• 负责人: Sheng-Jen Hsieh
• 金额: $ 60万
• 依托单位: Texas A&M Engineering Experiment Station
• 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: 2022-11-01 至 2025-10-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2206953&HistoricalAwards=false
• 关键词: RET; Site; Machine; Learning; Smart

Due to increased automation of manufacturing processes, industry demand for workers with knowledge and skills related to industrial automation is high. In addition, increasingly widespread deployment of high-speed sensors in the field allows vast amounts of data to be collected. Machine learning techniques can be applied to these data to enable automated systems to adapt to changing conditions—that is, to become smart systems. This RET site will provide opportunities for high school faculty to learn about machine learning and smart systems with emphasis on applications and careers related to industrial automation; to work on related research projects; and to develop and share new instructional resources. The program will strengthen education in machine learning and smart system design and ultimately strengthen the U.S. workforce and U.S. economic competitiveness. Students who choose careers in automation will also benefit; entry-level jobs related to automation pay well and often do not require a four-year degree.This RET site will provide opportunities for high school teachers to collaborate with faculty and student researchers in the College of Engineering at Texas A&M University. Program goals include: 1) provide teachers opportunities for professional development in machine learning and smart system design; 2) enrich their teaching of engineering concepts; 3) provide opportunities for them to network with industry mentors, and university faculty and student researchers; 4) equip them to encourage, guide and stimulate their students’ interest in careers in the program’s theme area, especially students historically underrepresented in these areas; 5) encourage them to disseminate what they learn to other teachers in the field; and 6) develop long-term collaborative relationships between the project team, participating instructors and their institutions, and industry.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.

由于制造过程的自动化程度不断提高，行业对具有工业自动化相关知识和技能的工人的需求很高。此外，高速传感器在现场的日益广泛部署允许收集大量数据。应用于这些数据，使自动化系统能够适应不断变化的条件，即成为智能系统，该 RET 网站将为高中教师提供学习机器学习和智能系统的机会，重点关注与工业相关的应用和职业。自动化；从事相关研究项目；并开发和分享新的该计划将加强机器学习和智能系统设计方面的教育，并最终增强美国的劳动力和美国的经济竞争力，选择自动化职业的学生也将受益；与自动化相关的入门级工作通常不需要高薪。四年制学位。该 RET 站点将为高中教师提供与德克萨斯 A&M 大学工程学院的教师和学生研究人员合作的机会。项目目标包括：1) 为教师提供机器学习和智能方面的专业发展机会。系统设计；2）丰富他们的工程概念教学；3）为他们提供与行业导师、大学教师和学生研究人员建立联系的机会；4）鼓励、引导和激发学生，特别是学生对职业的兴趣；历史上在这些领域的代表性不足；5) 鼓励他们向该领域的其他教师传播所学知识；6) 在项目团队、参与教师及其机构和行业之间建立长期合作关系。该奖项反映了 NSF 的法定奖项使命通过使用基金会的智力优点和更广泛的影响审查标准进行评估，并被认为值得支持。