CAP: Building Capacity for New Genre of Learning on the Move (LoM)

网络学习和未来学习技术计划资助的努力将有助于设想下一代学习技术，并推进我们对人们如何在技术丰富的环境中学习的了解。能力建设项目提高了研究人员的能力，使他们能够了解今后应如何设计和使用这种技术，并支持新的能力，使研究人员能够回答有关人们如何学习、如何促进或评估学习以及如何为学习进行设计的问题。在过去的十年中，位置感知技术（例如，移动的设备中的GPS）、数字地图工具（例如，Google地图），以及用于空间分析和建模的工具（例如，CartoDB）。这些技术创造了新的机会，将个人规模的移动数据与越来越多的空间组织的开放式大规模数据集联系起来。这种技术发展的融合创造了巨大的潜力，可以设计新的学习和教学形式，将公共空间中的个人移动性作为学习的主题和手段：“移动学习”（LoM）。这个项目将吸引来自不同学科的研究人员，他们还没有合作，但他们可以一起为设计研究做出贡献，开发和研究LoM作为一种新的学习的类型。一个受邀的研讨会将建立和使用一个由参与者贡献的支持LoM的学习和技术开发案例研究语料库，相关的公共网站将使这个语料库和支持资源（例如，数据、开放源代码、知情同意程序、评估、讲习班参与者编写的“白色文件”）提供给对这一新类型感兴趣的更大社区。该研讨会将汇总现有关于LoM的最佳工作，探讨现有工作中的共同点和不同点，确定有前途的研究方向，并记录可用于进一步研究的研究方法和工具。受邀者的广度和研讨会产生的LoM语料库将为该领域的其他研究人员提供实质性的持续资源。

The Cyberlearning and Future Learning Technologies Program funds efforts that will help envision the next generation of learning technologies and advance what we know about how people learn in technology-rich environments. Capacity-building (CAP) projects increase the ability of researchers to understand how such technology should be designed and used in the future and support new capacity in allowing researchers to answer questions about how people learn, how to foster or assess learning, and how to design for learning. The past decade has seen rapid growth in development and wide distribution of location-aware technologies (e.g., GPS in mobile devices), digital mapping tools (e.g., Google maps), and tools for spatial analysis and modeling (e.g., CartoDB). These technologies create new opportunities for linking data on mobility at a personal scale with a growing variety of spatially organized, open, large-scale data sets. This confluence of technological developments creates tremendous potential to design new forms of learning and teaching that incorporate personal mobility in public spaces as both the topic and the means of learning: "Learning on the Move" (LoM).This project will draw together a community of researchers from different disciplines who are not yet collaborating but who together could contribute to design research that develops and studies LoM as a new genre of learning. An invited workshop will build and use a corpus of case studies of learning and technical development supporting LoM that are contributed by participants, and an associated public website will make this corpus and supporting resources (e.g., data, open source code, informed consent procedures, assessments, a "white paper" written by workshop participants) available to the larger community with research interests in this new genre. The workshop will aggregate the best existing work on LoM, explore what is common and different in this existing work, identify promising directions for research, and document research methods and tools that can be used to further this research. The breadth of the invitees and the resulting LoM corpus from the workshop will provide a substantive, ongoing resource to other researchers in the field.