AccelNet-Design: Harnessing Global Science Networks to Accelerate Cultures of Learning

这个全球网络旨在填补关于学习原则如何在不同文化背景下发挥作用的知识的关键空白。代表来自不同文化背景的人的多样性的国际数据将使我们更深入地了解什么有效，对谁有效，何时何地有效，以及某些科学原理可以推广到何种程度。这个设计轨道项目将建立一个跨学科的网络，解决与全球教育需求相关的学习、发展和文化方面的问题。网络中的网络最初的重点将放在学习者的自我调节上。这种具有全球包容性、方法严谨的数据将使科学界能够更好地理解基于个人环境、经验和情境需求的自我调节行为的变化。世界各地的教育研究人员和政策制定者也将获得新的见解，为设计有效的教育干预措施和实施有效的教育政策提供信息。 为全球学习科学建立一个网络的网络，将使科学工作者具备应对当前和未来挑战的智力敏捷性，利用学习科学在规模上促进积极的全球技术氛围，并建立一个全球包容的学习科学。考虑促进下一代充分掌握科学的最佳做法和基本需要是国家和全球的优先事项。  这个设计项目将把全球学习科学教育网络和应用认知科学中心与专门研究全球发展、学习、教育、公平和政策的合作伙伴网络联系起来。这些网络通常是跨学科的，包括社会科学家、工程师、设计师、全球发展实践者、慈善家、教育工作者和政策制定者。自我调节是这个设计项目的首要重点，因为它对教育、社会和经济结果都有重要影响，但人们对它的理解却很少。网络的网络将通过协作规划框架建立，包括设计活动、虚拟讲习班和学员讲习班。由来自多个网络的成员组成的跨职能团队或“桥梁网络”将参与融合科学，为整合社区和科学网络创建一个生态系统，以应对学习科学中的各种紧迫挑战。随着数字鸿沟影响世界各地的学习者，这些网络将通过利用学习科学创造终身学习者，解决人类技术前沿工作的未来问题。通过国际网络对网络合作加速研究（AccelNet）计划旨在加速科学发现的进程，并为下一代美国研究人员进行多团队国际合作做好准备。AccelNet项目支持美国研究网络与国外互补网络之间的战略联系，将利用研究和教育资源来应对需要重大国际协调努力的重大科学挑战。该奖项的共同资助由社会、行为和经济科学理事会的学习科学和增强智能项目提供。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This global network of networks aims to fill critical gaps in knowledge regarding how principles of learning function in diverse cultural contexts. International data representing a diversity of people from a diversity of cultures would allow a deeper understanding of what works, for whom, where and when, and to what extent some scientific principles might generalize. This design-track project will build an interdisciplinary network of networks addressing aspects of learning, development, and culture as they relate to global education needs. The initial focus of the network of networks will be on the self-regulation of the learner. Globally-inclusive, methodologically-rigorous data of this kind would allow the scientific community to better understand variation in self-regulatory behavior based on an individual’s environment, experience, and situational demands. Educational researchers and policy-makers around the world would also gain new insights to inform the design effective educational interventions and implement effective educational policies.  Forming a network of networks for the global science of learning will enable a scientific workforce with the intellectual agility to address current and future challenges, leverage the science of learning to promote a positive global technology climate at scale, and build a globally inclusive science of learning. Considering best practices and foundational needs to promote sufficient scientific fluency for the next generation is a national and global priority.  This design project will link the Global Science of Learning for Education Network and the Center for Applied Cognitive Science with partner networks that specialize in global development, learning, education, equity, and policy. These networks are generally interdisciplinary and include social scientists, engineers, designers, global development practitioners, philanthropists, educators, and policy makers. Self-regulation is the initial focus for this design project because it is consequential for educational, social, and economic outcomes, yet little understood. The network of networks will be established through framework for collaborative planning, including design events, virtual workshops, and trainee workshops. Cross-functional teams or “bridge networks” comprised of members from multiple networks will engage in convergence science to create an ecosystem for integrating communities and scientific networks to tackle a variety pressing challenges in the science of learning. With the digital divide impacting learners around the world, the networks will address the future of work at the human technology frontier, by leveraging the science of learning to create life-long learners. The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts. Co-funding for this award is provided by the Science of Learning and Augmented Intelligence Program in the Directorate for Social, Behavioral and Economic Sciences.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.