The Temporal Dynamics of Learning

学习的时间动态

• 批准号: 0542013
• 负责人: Garrison Cottrell
• 金额: $ 1550万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0542013&HistoricalAwards=false
• 关键词: Temporal; Dynamics; Learning

Along with its academic and corporate partners, UCSD will establish a multidisciplinary Center to study the temporal dynamics of learning, the Dynamic Learning Center, involving investigators from fields as diverse as cognitive science, machine learning and robotics, developmental and perceptual psychology, and neuroscience. The administrative location of the Center will be at the University of California, San Diego, with partner institutions, Rutgers University and Vanderbilt University and substantive participation from investigators at UC Berkeley, Brown, CMU, CU Boulder, Pittsburgh, Queensland, the Salk Institute, San Diego State University, Victoria, and Yale.The intellectual merit of the Center will be its focus upon the role of time and timing in learning, at multiple time scales and in multiple systems. It is clear that these levels of description cannot be understood in isolation, or from only one disciplinary approach. The team proposes to integrate work in machine learning, social robotics, the neurobiology of learning and memory, electrophysiology, brain imaging, behavior, and theoretical neuroscience in order to develop a new, integrated view of the dynamics of learning at multiple time scales. The Center will be unique in its emphasis on research networks composed of interdisciplinary teams of scientists addressing common questions in the study of time and timing in learning. The broader impact of this proposal will be first, to develop novel training activities and cyberinfrastructure in order to make truly collaborative interdisciplinary research possible; second, to work with local schools on novel educational initiatives; and third, to develop new public outreach programs. Unlike typical training programs, the training activities will be aimed at senior scientists as well as students and junior scientists; and they will involve a range of vehicles, including intensive "bootcamps," internships, and summer schools. Center scientists and select classroom teachers will educate each other in order to achieve effective translation of the science to pertinent classroom initiatives. Translation to the classroom will be facilitated by the expertise of the Center's corporate partners in educational technology. The Center will recruit new undergraduate and graduate students, with the particular goal of increasing the breadth and diversity of the student population, through partnerships with Rutgers Newark and UCSD's charter school for low-income students, The Preuss School. The Center will provide internships for high school students; intensive workshops for approximately 80 inner-city high school students in the Reach for Tomorrow program each summer, and a summer workshop for teachers. The Center's research will be disseminated to the public through the medium of The Science Network, a web-based multi-media programming platform that will be a trusted destination for those concerned with science and its impact on society.The center mode is essential to this enterprise, given the ambitious goal of creating a new science of the temporal dynamics of learning. Answering fundamental questions in this discipline will require technological support for a large group of committed scientists and teachers to incubate ideas, share data, share research tools, and theoretical advances. The Data Sharing Facility that will enable this interaction will become a model technology and software architecture for future collaborative science.

加州大学圣地亚哥分校将与其学术和企业合作伙伴一起，建立一个多学科中心，研究学习的时间动态，即动态学习中心，涉及来自认知科学、机器学习和机器人、发展和感知心理学以及神经科学等不同领域的研究人员。该中心的行政地点将设在加州大学圣地亚哥分校，合作机构包括罗格斯大学和范德比尔特大学，以及加州大学伯克利分校、布朗大学、CMU、科罗拉多大学博尔德分校、匹兹堡、昆士兰、索尔克研究所、圣地亚哥州立大学维多利亚分校和耶鲁大学的研究人员。该中心的智力价值在于它关注时间和时间在学习中的作用，在多个时间尺度和多个系统中。很明显，这些层次的描述不能孤立地理解，也不能只从一种学科方法来理解。该团队建议整合机器学习、社交机器人、学习和记忆的神经生物学、电生理学、脑成像、行为和理论神经科学方面的工作，以开发一种新的、综合的多时间尺度学习动态视图。该中心的独特之处在于强调由跨学科科学家团队组成的研究网络，以解决学习时间和时间研究中的常见问题。该提案的广泛影响将首先是开发新的培训活动和网络基础设施，以使真正的跨学科合作研究成为可能；第二，与当地学校合作开展新颖的教育活动；第三，发展新的公共宣传项目。与典型的培训项目不同，培训活动将针对高级科学家以及学生和初级科学家；它们将涉及一系列手段，包括集训营、实习和暑期学校。中心科学家和选定的课堂教师将相互教育，以便将科学有效地转化为相关的课堂活动。中心在教育技术方面的企业合作伙伴的专业知识将促进对课堂的翻译。该中心将招收新的本科生和研究生，其具体目标是通过与罗格斯大学纽瓦克分校和加州大学圣地亚哥分校的低收入学生特许学校普鲁斯学院合作，增加学生群体的广度和多样性。该中心将为高中生提供实习机会；每年夏天为大约80名市中心高中学生举办“走向明天”项目的密集讲习班，并为教师举办暑期讲习班。中心的研究成果将通过科学网（The Science Network）向公众传播。科学网是一个基于网络的多媒体编程平台，将成为关注科学及其对社会影响的人们值得信赖的目的地。中心模式对这项事业至关重要，因为它的宏伟目标是创造一门关于学习时间动态的新科学。回答这一学科的基本问题需要技术支持，以支持一大批忠诚的科学家和教师孵化想法、共享数据、共享研究工具和理论进步。实现这种交互的数据共享设施将成为未来协作科学的模型技术和软件架构。