Center for Integrative Research in Computing and Learning Sciences (CIRCLS)

人工智能和其他新兴技术正在改变家庭、社区、教育和工作场所中的整个生命周期的学习。利用这些先进技术来满足STEM(和STEM支持领域)对国家具有重要意义的学习需求，需要将学习和计算机科学中的跨学科研究结合起来。计算与学习科学综合研究中心(CIRCLS)的使命是：a)连接NSF资助的学习技术研究人员，并作为跨学科研究社区的社区中心(包括学习科学、计算机科学、社会科学和工程学)；以及，b)通过综合新的见解、发现和进步，利用新兴技术加强学习，为该领域提供支持。作为一个中心，CIRCLS将把研究人员聚集在一起，分享专业知识，协调努力，并综合跨项目的知识。这包括将重点放在扩大研究生、早期职业学者、股票学者和从业者之间的参与-旨在服务于一个拥有1000多名活跃参与者的领域。此外，CIRCLS将通过其时事通讯、网站、报告和活动，就研究进展向更广泛的研究和发展受众和政策制定者广泛交流。具体地说，CIRCLS将领导六项超越现有会议、学会和期刊的活动，以促进计算机科学家、学习科学家和相关学科之间的协同作用。相互关联的活动包括：(1)以高度互动的形式主办一年两次的多学科研究会议，建立关系，确定新兴学习技术的优先问题，并专注于集体推进研究，以应对紧张和挑战；(2)通过为各个地点的研究生和早期职业科学家设立工作组，围绕教育中的人工智能协同作用建设能力，以解决超出任何单个项目的难题；(3)组织实地驱动的研究综述，就对工作至关重要的主题或反映新的设计和见解的主题生成简洁、令人信服的总结；(4)通过社交媒体、时事通讯和其他有效形式，扩大该领域研究的覆盖范围、参与和传播，重点关注更广泛的受众，包括研究人员、政策制定者、教育从业者和其他利益集团；(5)管理奖项组合，收集和报告有关资助研究的详细、一致的信息，这将有助于该领域了解最新状况，分析进展和差距，并规划未来；以及(6)收集社区反馈，并聘请一个由多学科视角的领导人组成的顾问小组来指导持续改进。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Artificial intelligence and other emerging technologies are transforming learning across the lifespan within home, community, educational and workplace settings. Harnessing these advanced technologies to address nationally-important learning needs in STEM (and STEM-enabling areas) requires the integration of interdisciplinary research in the learning and computer sciences. The mission of the Center for Integrative Research in Computing and Learning Sciences (CIRCLS) is to: a) connect NSF-funded learning technology researchers and serve as a community-based hub across the interdisciplinary research community (to include learning sciences, computer sciences, social sciences, and engineering); and, b) support the field by synthesizing emerging insights, findings and advances in ways that strengthen learning with emerging technology. As a center, CIRCLS will bring investigators together to share expertise, coordinate efforts, and synthesize knowledge across projects. This includes a strong focus on broadening participation among graduate students, early career scholars, equity scholars, and practitioners - aiming to serve a field with over 1,000 active participants. In addition, CIRCLS will communicate widely to broader research and development audiences and policy makers regarding research advances through its newsletter, website, reports and events. Specifically, CIRCLS will lead six activities that go beyond the reach of existing conferences, societies and journals to foster synergies among computer scientists, learning scientists and relevant disciplines. The interrelated activities include the following: (1) Hosting bi-annual multi-disciplinary research convenings in a highly interactive format that builds relationships, identifies priority issues for emerging learning technologies, and focuses on collectively advancing research to address tensions and challenges; (2) Building capacity around artificial intelligence synergies within education via working groups for graduate students and early career scientists across locations to tackle tough problems that transcend any individual project; (3) Organizing field-driven research syntheses, to generate concise, compelling summaries across projects on topics that are foundational to the work or reflect emerging designs and insights; (4) Expanding reach, engagement and dissemination of the field’s research, focused on broader audiences to include researchers, policy makers, educational practitioners, and other interest groups, through a mix of social media, newsletters and other effective formats; (5) Curating the portfolio of awards to collect and report detailed, consistent information about funded research, which will help the field to understand the state of the art, to analyze of advances and gaps, and to plan the future; and (6) Gathering community feedback and engaging an advisory group composed of leaders from multiple disciplinary perspectives to guide continuous improvement.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.