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

CAP：新型移动学习 (LoM) 的能力建设

基本信息

批准号：
1647242
负责人：
Rogers Hall
金额：
$ 5万
依托单位：
Vanderbilt University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-09-01 至 2019-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1647242&HistoricalAwards=false
关键词：
CAP Building Capacity New Genre

项目摘要

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.

网络学习和未来学习技术计划资助的努力将有助于展望下一代学习技术，并促进我们对人们在技术丰富的环境中如何学习的了解。能力建设(CAP)项目提高了研究人员了解未来应如何设计和使用此类技术的能力，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而设计的问题。在过去十年中，位置感知技术(如移动设备中的全球定位系统)、数字地图工具(如谷歌地图)以及空间分析和建模工具(如CartoDB)的开发和广泛分布迅速增长。这些技术创造了新的机会，将个人规模的移动性数据与越来越多的空间组织的、开放的、大规模的数据集联系起来。这种技术发展的融合创造了巨大的潜力来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：“移动中的学习”(LOM)。这个项目将汇集来自不同学科的研究人员社区，他们尚未合作，但他们一起可以为设计研究做出贡献，开发和研究LOM作为一种新的学习流派。一个受邀的讲习班将建立和使用一个由参与者贡献的学习和技术开发支持LOM的案例研究语料库，一个相关的公共网站将向对这一新流派有研究兴趣的更大的社区提供该语料库和辅助资源(例如，数据、开放源码、知情同意程序、评估、讲习班参与者撰写的“白皮书”)。研讨会将汇总关于LOM的最佳现有工作，探索这项现有工作的共同点和不同点，确定有希望的研究方向，并记录可用于进一步研究的研究方法和工具。被邀请者的广度和由此产生的LOM语料库将为该领域的其他研究人员提供实质性的、持续的资源。