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

计算与学习科学综合研究中心 (CIRCLS)

• 批准号: 2021159
• 负责人: Jeremy Roschelle
• 金额: $ 298.79万
• 依托单位: Digital Promise Global
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2021159&HistoricalAwards=false
• 关键词: Center; Integrative; Research; Computing; Learning

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.

人工智能和其他新兴技术正在改变家庭、社区、教育和工作场所环境中的学习方式。利用这些先进技术来满足STEM（和STEM使能领域）的国家重要学习需求，需要整合学习和计算机科学的跨学科研究。计算和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）通过综合新兴的见解、发现和进展来支持该领域，以加强对新兴技术的学习。 作为一个中心，CIRCLS将把调查人员聚集在一起，分享专业知识，协调工作，并综合跨项目的知识。这包括非常注重扩大研究生，早期职业学者，股权学者和从业者的参与-旨在为拥有1,000多名活跃参与者的领域提供服务。此外，CIRCLS将通过其通讯、网站、报告和活动，向更广泛的研究和开发受众和决策者广泛宣传研究进展。具体而言，CIRCLS将领导六项超越现有会议、学会和期刊范围的活动，以促进计算机科学家、学习型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两年一次的多学科研究会议，以建立关系，确定新兴学习技术的优先问题，并侧重于集体推进研究，以应对紧张局势和挑战;（二）通过研究生和早期职业科学家的工作组，围绕教育中的人工智能协同作用建设能力。地点，以解决超越任何单个项目的坚韧问题;（3）组织现场驱动的研究综合，针对工作基础或反映新兴设计和见解的主题，跨项目生成简洁、令人信服的摘要;（4）扩大该领域研究的范围、参与和传播，重点是更广泛的受众，包括研究人员、决策者、教育工作者，（5）策划奖项组合，以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技术，分析进展和差距，并规划未来;以及（6）收集社区反馈，并与来自多个学科视角的领导者组成的咨询小组合作，以指导持续改进。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的评估，被认为值得支持。影响审查标准。

项目成果

ISLS’22 Workshop: AI and Educational Policy

ISLS™22 研讨会：人工智能与教育政策

• 发表时间: 2022
• 期刊: Computersupported collaborative learning
• 作者: Leah M. Friedman, Dalila Dragnić-Cindrić

Intelligence Augmentation for Collaborative Learning

协作学习的智能增强

• 发表时间: 2021
• 期刊: HCI International
• 作者: Roschelle, Jeremy

Shifting from “broadening” to “empowering”: One community’s perspective on changing the learning sciences

从“拓宽”到“赋权”的转变：一个社区对改变学习科学的看法

• 发表时间: 2022
• 期刊: Computersupported collaborative learning
• 作者: Roschelle, J. &

A review of the International Handbook of Computer-Supported Collaborative Learning 2021

2021 年计算机支持协作学习国际手册回顾

• DOI: 10.1007/s11412-020-09336-0
• 发表时间: 2020
• 期刊: International Journal of Computer-Supported Collaborative Learning
• 影响因子: 4.3
• 作者: Roschelle, Jeremy

Engaging Learning Scientists in Policy Challenges: AI and the Future of Learning

让学习科学家参与政策挑战：人工智能和学习的未来

• 发表时间: 2022
• 期刊: Computersupported collaborative learning
• 作者: Jeremy Roschelle, Toshio Mochizuki