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

这项名为“美国国家科学基金会加速网络实施：利用全球科学网络加速学习文化”的提案的目标是建立一个跨学科的全球网络的网络，重点关注与全球教育需求相关的学习、发展和文化方面。我们的AccelNet代表了参与可扩展融合科学方法的进步，以及如何利用全球科学加速学习文化。我们的目标是利用技术、社会科学和数据科学的进步来创建协作资源，旨在提升全球学习和教育科学。通常，人们将参与实践社区描述为拓展或翻译，但在这种情况下，目标是到达社区，并让他们的需求广泛地影响网络科学的方向。我们的网络覆盖范围广泛，可以组建代表全球多个国家、文化、种族和人口结构的跨职能团队。通过一项促进多样性、包容性和对文化敏感的学习和研究机会的积极计划，我们将着手培训下一代科学、教育、技术和政策工作人员；我们的目的是通过将网络与嵌入式架构连接起来，为科学提供信息，并扩大当地社区领导的智力资本，以实现全球影响，从而改变全球教育。我们寻求实现一个可持续的交流、综合、最佳实践、研究和创新的生态系统，旨在加速全球学习科学。我们将发展一个跨学科的网络的网络，包括社会科学研究人员、神经科学家、心理学家、数据科学家、工程师、设计师、全球发展实践者、慈善家、教育家和政策制定者，以创建跨领域的基础设施来应对学习科学中的紧迫挑战，以满足全球教育的需求。该网络利用了四个现有网络的资源：全球教育科学学习网络（GSoLEN），一个由专注于学习和教育的科学家、政策专家、慈善家和实践者组成的网络；应用认知科学中心（CACS），一个专门利用文化上合适的措施和方法将认知科学应用于相关问题的中心；教育技术和创新网络，教育技术思维中心（MindCET）和一个全球发展网络；全球社区。我们的AccelNet专注于全球发展、学习、教育、跨文化培训、公平和政策。我们是一个学习网络的网络；学习是教育的核心特征，对当地学习者福祉的关注促进了全球平等。我们的AccelNet旨在促进培养一支智力敏捷、跨学科的科学领袖团队，他们能够参与科学合作，造福社会。与社区和网络内的下一代科学家接触并指导他们将最终建立一种更强大的科学研究方式。我们选择自我监管作为本AccelNet-Implementation提案的原型研究挑战，因为它对教育、社会和经济成果都有重要影响，但对其背后的变化来源以及如何通过实践和政策以背景和文化敏感的方式进行干预以促进其发展知之甚少。自我调节是一个与包括数字领域在内的所有学习和福祉领域相关的主题，需要大规模动员，因此适合于网络的规模。我们从目标导向行为的角度来定义自我调节；个体通过抑制或重定向行为来克服和管理冲动行为的能力（Hofmann, Schmeichel, & Baddeley, 2012; McClelland, & Cameron, 2012; Mora & Ozakinci 2013; Montroy et al., 2016）。然而，自我调节的发展轨迹不是线性的，也不是普遍的，在不同的文化、国家和人口结构中差异很大(McClelland & Cameron, 2012; Montroy et al., 2016；Wanless等人，2016)，要求从全球合作伙伴那里综合知识，以促进共享理解，造福社会。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智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

The objective of this proposal, "NSF Accel-Net-Implementation: Harnessing Global Science Networks to Accelerate Cultures of Learning" is to build an interdisciplinary global network-of-networks focusing on aspects of learning, development, and culture as they relate to global education needs. Our AccelNet represents an advance in methods for engaging in scalable convergence science, as well as how to harness global science to accelerate cultures of learning. We aim to leverage technology, social science, and data science advances to create collaborative resources designed to elevate the global science of learning and education. Typically, one describes engaging with communities of practice as outreach or translation, but in this instance the goal is to reach IN to the communities and let their needs broadly impact the direction of the network science. Our networks have broad reach, allowing cross-functional teams to be assembled that represent many countries, cultures, ethnicities, and demographics from around the globe. Through an active plan to promote diversity, inclusivity, and culturally sensitive learning and research opportunities, we will embark on training the next generation science, education, technology, and policy workforce; our intent is to transform global education by connecting networks with embedded architecture to inform science and amplify the intellectual capital of local community leadership for global impact.We seek to implement a sustainable ecosystem of communication, synthesis, best-practices, research, and innovation for a network-of-networks designed to accelerate the global science of learning. We will evolve an interdisciplinary network-of-networks, including social science researchers, neuroscientists, psychologists, data scientists, engineers, designers, global development practitioners, philanthropists, educators, and policy makers in order to create cross-cutting infrastructure to tackle pressing challenges in the science of learning to meet the needs of global education. The network leverages resources from four existing networks: the Global Science of Learning for Education Network (GSoLEN), a network of scientists, policy experts, philanthropists, and practitioners all focused on learning and education, the Center for Applied Cognitive Science (CACS), a center specializing on applying cognitive science to relevant problems using culturally appropriate measures and approaches, an educational technology and innovation network, Mind Center for Educational Technology (MindCET), and a global development network, Global Communities. Our AccelNet specializes in global development, learning, education, cross-cultural training, equity, and policy. We are a learning network-of-networks; learning is the central feature of education and attention to the well-being of learners on local terms promotes parity on global terms. Our AccelNet is designed to promote training of an intellectually agile, interdisciplinary group of scientific leaders, capable of engaging in scientific collaborations for societal good. Engagement with and mentoring of the next generation of scientists within the communities and within the networks will ultimately build a stronger way of doing science. We have selected self-regulation as our prototype research challenge for this AccelNet-Implementation proposal because it is consequential for educational, social, and economic outcomes, yet relatively little is known about the sources of variation underlying it, and how to intervene in contextually and culturally-sensitive ways through practice and policy to promote its development. Self-regulation, a topic relevant to all domains of learning and well-being, including the digital domains, requires large-scale mobilization and thus lends itself to the scale of a network-of-networks. We define self-regulation from the perspective of goal-directed behavior; an individuals' ability to override and manage impulsive actions through inhibiting or redirecting their behavior(s) (Hofmann, Schmeichel, & Baddeley, 2012; McClelland, & Cameron, 2012; Mora & Ozakinci 2013; Montroy et al., 2016). The developmental trajectory of self-regulation is, however, not linear or universal and varies broadly across cultures, countries, and demographics (McClelland & Cameron, 2012; Montroy et al., 2016; Wanless, et al., 2016), mandating synthesis of knowledge from global partners to promote shared understanding and benefit societyThis 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.