Collaborative Research: CI-Team Implementation Project: The Signal Processing Education Network

合作研究：CI 团队实施项目：信号处理教育网络

• 批准号: 1041396
• 负责人: Richard Baraniuk
• 金额: $ 48.13万
• 依托单位: William Marsh Rice University
• 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: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1041396&HistoricalAwards=false
• 关键词: Collaborative; Research; CI; Team; Implementation

This project is addressing a crisis throughout engineering education, and cyberinfrastructure education regarding decreasing enrollments, under preparation and disengagement of students, and the pressure of faculty to cover increasing volumes of material. Curricula have become stove-piped and disconnected, in spite of research indicating that science and engineering education best resonates with women and underrepresented minority students and when clear connections are drawn to transformative applications and other fields of study. Industry routinely lobbies for better engineering graduates that are at ease when collaborating on teams, and eager to attack hands-on design challenges.The academic/industrial/professional society partnership between Rice University, Georgia Institute of Technology, Rose-Hulman Institute of Technology, the University of Texas at El Paso, National Instruments, Texas Instruments, Hewlett-Packard, and the Institute for Electrical and Electronics Engineers Signal Processing Society directly attacks these issues by aiming to revolutionize the way they teach and learn about cyberinfrastructure. They are guided by a common vision: to prepare the cyberinfrastructure leaders of tomorrow, to break away from the traditional textbook, lecture, homework-based approach to education, and to build a new framework where a vibrant network of educators, students, and field practitioners continually interact, collaborate, connect, and explore interactive content.The innovative aspects and scientific merits of this collaborative project lie in their new approach to building and sustaining virtual educational communities around interactive content and applying the results to the full spectrum of engineering education venues: university undergraduate and graduate courses, industrial training and continuing education, just-in-time on the job learning, and high-school laboratories. Their research focuses on one strategic discipline in engineering, signal processing, and involves and balances education, community development, technology development, marketing and business planning, and impact assessment.The partnership is:1. Implementing a light-weight Technology Framework that enables faculty and student users to exploit and expand upon the existing signal processing education content;2. Building a signal processing Education Network of champions from faculty, students, and industry leaders nationwide that continually expands, improves, and diversifies the materials and that promotes the use of the framework both at network member institutions and at institutions in the wider engineering education community;3. Assessing the effectiveness of the framework and network for accelerating adoption and use as well as the value of the mentoring and support provided by the network of champions;4. Widely Disseminating the results and lessons learned.Broader impacts of this research include the development of people-resources and technologies that will substantially increase the performance and capabilities of engineering educators, effectively opening up engineering education for motivated self-learners in all parts of the nation as well as the world. In particular, education in digital signal processing and related technologies is critical in sustaining many high-tech industries. Finally, digital signal processing educators, practitioners and students will be brought together to form dynamic knowledge sharing communities that greatly impact education not only on their home campuses but around the world.

这个项目正在解决整个工程教育和网络基础设施教育中的一个危机，即招生人数减少，学生准备和脱离，以及教员覆盖越来越多的材料的压力。尽管有研究表明，科学和工程教育最能引起女性和代表不足的少数族裔学生的共鸣，而且当课程与变革性应用和其他学习领域有明确的联系时，课程已经变得过于狭隘和脱节。工业界经常游说更好的工程专业毕业生，让他们在团队合作时轻松自在，并渴望解决实际操作的设计挑战。赖斯大学、佐治亚理工学院、罗斯-胡尔曼理工学院、德克萨斯大学埃尔帕索分校、国家仪器公司、德克萨斯仪器公司、惠普公司和电气电子工程师学会信号处理学会之间的学术/工业/专业协会合作伙伴关系直接解决了这些问题，旨在彻底改变他们教授和学习网络基础设施的方式。他们以一个共同的愿景为指导：培养未来的网络基础设施领导者，打破传统的基于教科书、讲座和家庭作业的教育方法，建立一个新的框架，让教育工作者、学生和现场从业人员不断互动、协作、连接和探索互动内容。这个合作项目的创新方面和科学价值在于，他们以新的方法建立和维持围绕互动内容的虚拟教育社区，并将结果应用于各种工程教育场所：大学本科生和研究生课程、工业培训和继续教育、即时在职学习和高中实验室。他们的研究集中于工程学中的一个战略性学科，信号处理，涉及并平衡教育、社区开发、技术开发、营销和商业规划以及影响评估。合作伙伴是：1.实施一个轻量级技术框架，使教师和学生用户能够利用和扩展现有的信号处理教育内容；2.建立一个由全国教师、学生和行业领袖组成的信号处理教育网络，该网络不断扩展、改进和多样化材料，并促进该框架在网络成员机构和更广泛的工程教育社区的机构中的使用；3.评估加速采用和使用的框架和网络的有效性，以及由冠军网络提供的指导和支持的价值；4.广泛传播所学到的结果和教训。这项研究的广泛影响包括人力资源和技术的发展，这将大大提高工程教育工作者的业绩和能力，有效地为全国各地和世界各地的自学动机开放工程教育。特别是，数字信号处理和相关技术方面的教育对维持许多高科技产业至关重要。最后，数字信号处理教育者、实践者和学生将被聚集在一起，形成动态的知识共享社区，不仅对他们的家庭校园，而且对世界各地的教育产生重大影响。