EAGER: Mobile City Science: Youth Mapping Community Learning Opportunities
EAGER: Mobile City Science: Youth Mapping Community Learning Opportunities
批准号:
1645102
负责人:
Katie Taylor
金额:
$30.0万
依托单位:
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
项目状态:
已结题
起止时间:
2016-09-01 至 2019-02-28
中文摘要
网络学习和未来学习技术计划资助的工作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。绘制地图和理解相关技术,正迅速成为参与社区层面解决问题的一种新型公民素养。该项目将研究两组城市青年如何使用移动和位置感知技术收集有关社区的数据并绘制社区地图,以及这些数据如何支持教育工作者更好地了解学生居住的地方。这些工具的用户可以很容易地绘制出社区的学习资产(例如,图书馆、社区中心)、学习缺陷(例如,没有安全的上学路线)和新的学习机会(例如,发展中的社区花园)。教育工作者需要这些数据来创建与他们所教的年轻人相关的课程和其他教育经验;以社区为基础的、数据驱动的课程建立在社区内存在的资产、机会和问题的基础上,这些对教育环境至关重要。通过这种方式,这项研究有助于更好地理解如何建立智能和连接的学习社区。今天,有了一系列位置感知和移动技术,学习者比以往任何时候都更容易获取有关自己社区和社区的信息或数据。GPS轨迹、地理参考视频和照片、文本和人口统计变量只是对学习者社区进行系统、科学分析的数据样本。该项目将研究为参加芝加哥数字青年网络和皇后区科罗娜纽约科学馆编程的学习者实施移动城市科学课程。“城市科学”是一个新兴的跨学科领域,它使用无处不在的计算来产生数据驱动的见解和方法,以理解城市空间的复杂性。在这项拟议的研究中,移动城市科学(MCS)发生在“移动中”,在城市中,在教室和博物馆空间中。MCS支持年轻人使用位置感知和移动技术收集、分析和论证他们在不同社区收集的空间和数字数据。这个建议是及时的,因为数字青年网络(DYN)和纽约科学大厅(NYSCI)都在着手新的课程设计,使他们的节目更兼容,并与他们在各自社区内已有的资源相关。此时,这两个项目都需要来自年轻人的更新的“内生”账户(即地图),显示社区的学习机会(和不足),这些机会对他们的年轻赞助人来说是可用的和重要的。扎根理论、空间分析、互动分析、多模态话语分析和其他分析技术将被用于定性的、参与性的行动研究范式,以探索设计的社会技术系统的影响及其对技术流畅性、空间推理、设计实践和技术-公民参与的支持。
英文摘要
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. Mapping, and understanding related technologies, is quickly becoming a new kind of civic literacy for participating in community-level problem-solving. This project will study how two groups of urban youth collect data about and map their communities using mobile and location aware technologies, and how these data support educators to better understand the places in which students live. Users of these tools can easily map community assets for learning (e.g., library, community center), deficits to learning (e.g., no safe routes to school), and new learning opportunities (e.g., a developing community garden). Educators need these kind of data to create curricula and other educational experiences that are relevant to the young people they teach; community-based, data-driven curricula build upon the assets, opportunities, and problems that exist within communities that are important to address in educational settings. In this way, this research contributes to better understanding how to build smart and connected communities for learning.Today, with a range of location-aware and mobile technologies, empowering learners to capture information, or data, about their own neighborhoods and communities is easier than ever. GPS tracks, geo-referenced video and photos, text, and demographic variables are just a sample of the data accessible for systematic, scientific analysis of a learner's community. This project will study the implementation of a Mobile City Science curriculum for learners participating in programming at both the Digital Youth Network in Chicago and at the New York Hall of Science in Corona, Queens. "City science" is an emerging, interdisciplinary field that uses ubiquitous computing to produce data-driven insights and approaches for understanding the complexity of urban spaces. In this proposed study, Mobile City Science (MCS) occurs "on-the-move," in the city, as well as in classroom and museum spaces. MCS supports young people to collect, analyze, and argue from spatial and digital data they collect within different communities using location-aware and mobile technologies. This proposal is timely in that both the Digital Youth Network (DYN) and the New York Hall of Science (NYSCI) are embarking on new curricular designs to make their programming more compatible and relevant to the resources they already have within their respective communities. At this time, both programs require updated, "endogenous" accounts from youth (i.e., maps) showing the communities' learning opportunities (and deficiencies) that are available and important to their young patrons. Grounded theory, spatial analysis, interaction analysis, multimodal discourse analysis and other analytic techniques will be used in a qualitative, participatory action research paradigm to explore the impacts of the designed sociotechnical system and its affordances for technological fluency, spatial reasoning, design practice, and techno-civic engagement.
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Learning to see the familiar: Technological assemblages in a higher education (non)classroom setting
学习看到熟悉的事物:高等教育(非)课堂环境中的技术组合
DOI:
10.1111/bjet.12800
发表时间:
2019
期刊:
British journal of educational technology
影响因子:
6.6
作者:
[Bell, A.]
通讯作者:
Bell, A.
Dis-placing place-making: how African-American and immigrant youth realize their rights to the city
取代场所营造:非裔美国人和移民青年如何实现他们的城市权利
DOI:
10.1080/17439884.2018.1526804
发表时间:
2018
期刊:
Media and Technology
影响因子:
--
作者:
[Taylor, Katie Headrick, Silvis, Deborah, Bell, Adam]
通讯作者:
Bell, Adam
Community technology mapping: inscribing places when “everything is on the move”
社区技术绘图:在“一切都在移动”时记录地点
DOI:
10.1007/s11412-018-9275-0
发表时间:
2018
期刊:
International Journal of Computer-Supported Collaborative Learning
影响因子:
4.3
作者:
[Silvis, Deborah, Taylor, Katie Headrick, Stevens, Reed]
通讯作者:
Stevens, Reed
Learning Along Lines: Locative Literacies for Reading and Writing the City
沿着线索学习:阅读和书写城市的方位素养
DOI:
10.1080/10508406.2017.1307198
发表时间:
2017
期刊:
Journal of the Learning Sciences
影响因子:
3.8
作者:
[Taylor, Katie Headrick]
通讯作者:
Taylor, Katie Headrick
Mobile City Science: Technology-Supported Collaborative Learning at Community Scale
移动城市科学:技术支持的社区规模协作学习
DOI:
10.22318/cscl2017.53
发表时间:
2017
期刊:
Environmental Education Research
影响因子:
3.2
作者:
[K. Taylor, D. Silvis]
通讯作者:
D. Silvis
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