AISL: Innovations in Development: Community-Driven Projects That Adapt Technology for Environmental Learning in Nature Preserves
AISL:发展创新:社区驱动的项目,采用自然保护区环境学习技术
基本信息
- 批准号:1423212
- 负责人:
- 金额:$ 88.87万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-04-01 至 2021-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
While low-income and minority communities suffer disproportionately from poor environmental conditions, members of these communities tend to be under-represented in participatory scientific projects and informal science learning opportunities. There are many benefits to community-driven STEM projects, both for individuals' experiential learning and for the betterment of communities. Expanding participation also contributes to a more complete understanding of complex environmental problems, including STEM content and skills. This project engages members of racially and economically diverse communities in identifying and carrying out environmental projects that are meaningful to their lives, and adapts technology known as NatureNet to assist them. NatureNet, which encompasses a cell phone app, a multi-user, touch-based tabletop display and a web-based community, was developed with prior NSF support. Core participants involved in programs of the Anacostia Watershed Society in Washington, D.C., and Maryland, and the Reedy Creek Nature Preserve in Charlotte, NC, will work with naturalists, educators, and technology specialists to ask scientific questions and form hypotheses related to urban waterway restoration and preservation of native species. They will then collect and analyze data using NatureNet, requesting changes to the technology to customize it as needed for their projects. Casual visitors to the nature centers will be able to interact with the environmental projects via the tabletop, and those who live farther away will be able to participate more peripherally via the online community. This study is funded by the Advancing Informal STEM Learning (AISL) program, which seeks to advance new approaches to, and evidence-based understanding of, the design and development of STEM learning in informal environments. This includes providing multiple pathways for broadening access to and engagement in STEM learning experiences, advancing innovative research on and assessment of STEM learning in informal environments, and developing understandings of deeper learning by participants.The research project, led by researchers from the University of Maryland, College Park, with collaborators from the University of North Carolina, Charlotte, and the University of Colorado, Boulder, will provide answers to two questions: 1) How do community-driven informal environmental learning projects impact participants, including their motivation to actively participate in science issues via technology and their disposition toward nature preserves and scientific inquiry, and 2) What are the key factors (e.g., demographic composition of participants, geographical location) that influence the development of community-driven environmental projects? Researchers will gather extensive qualitative and quantitative data to understand how community projects are selected and carried out, how participants approach technology use and adaptation, and how informal learning and engagement on STEM-related issues can be fostered over a period of several months and through iterative project cycles. Data will be collected through motivation questionnaires; focus groups; interviews; tabletop, mobile, and website interaction logs; field notes from participatory design and reflection sessions; and project journals kept by nature preserve staff. Through extensive research, iterative design, and evaluation efforts, researchers will develop an innovative model for community-driven environmental projects that will deepen informal science education by demonstrating how members of diverse communities connect environmental knowledge and scientific inquiry skills to the practices, values, and goals of their communities, and how technology can be used to facilitate such connections.
虽然低收入和少数群体社区因恶劣的环境条件而遭受的影响不成比例,但这些社区的成员往往在参与性科学项目和非正式科学学习机会中代表性不足。社区主导的STEM项目有许多好处,无论是对个人的体验式学习,还是对社区的改善。扩大参与还有助于更全面地了解复杂的环境问题,包括STEM的内容和技能。该项目让种族和经济多元化社区的成员参与确定和实施对他们的生活有意义的环境项目,并采用名为NatureNet的技术来帮助他们。NatureNet包括一款手机应用程序、一个多用户、基于触摸的桌面显示屏和一个基于网络的社区,它是在之前的NSF支持下开发的。参与华盛顿特区和马里兰州阿纳卡斯蒂亚分水岭协会以及北卡罗来纳州夏洛特市芦须溪自然保护区项目的核心参与者将与博物学家、教育工作者和技术专家合作,提出与城市水道恢复和本地物种保护有关的科学问题和假设。然后,他们将使用NatureNet收集和分析数据,请求对技术进行更改,以根据他们的项目需要进行定制。自然中心的临时参观者将能够通过桌面与环境项目互动,而那些住得更远的人将能够通过在线社区更外围地参与。这项研究是由推进非正式STEM学习计划(AISL)资助的,该计划旨在促进对非正式环境中STEM学习的设计和发展的新方法和基于证据的理解。这包括提供多种途径,扩大获得和参与STEM学习经验的途径,推进对非正式环境中STEM学习的创新研究和评估,并发展参与者对更深层次学习的理解。该研究项目由马里兰大学学院公园的研究人员领导,北卡罗来纳大学夏洛特分校和科罗拉多大学博尔德分校的合作者将提供两个问题的答案:1)社区驱动的非正式环境学习项目如何影响参与者,包括他们通过技术积极参与科学问题的动机以及他们对自然保护和科学探究的态度;2)关键因素是什么(例如,参与者的人口构成、地理位置)对社区主导的环境项目的发展有何影响?研究人员将收集大量的定性和定量数据,以了解如何选择和执行社区项目,参与者如何使用和适应技术,以及如何在几个月的时间内通过迭代项目周期促进非正式学习和参与与STEM相关的问题。数据将通过动机问卷、焦点小组、访谈、桌面、移动和网站互动日志、参与式设计和反思会议的实地笔记以及由自然保护人员保存的项目日志来收集。通过广泛的研究、迭代设计和评估工作,研究人员将为社区驱动的环境项目开发一个创新模式,通过展示不同社区的成员如何将环境知识和科学探究技能与其社区的实践、价值观和目标联系起来,以及如何利用技术来促进这种联系,来深化非正式科学教育。
项目成果
期刊论文数量(0)
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会议论文数量(0)
专利数量(0)
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Mary Lou Maher其他文献
Enabling Investigation of Impacts of Inclusive Collaborative Active Learning Practices on Intersectional Groups of Students in Computing Education
调查包容性协作主动学习实践对计算机教育中交叉学生群体的影响
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Sri Yash Tadimalla;Celine Latulipe;Mary Lou Maher;Marlon Mejias;Jamie Payton;A. Rorrer;John Fiore;G. Kwatny;Andrew Rosen - 通讯作者:
Andrew Rosen
Risks and benefits of mass screening for colorectal neoplasia with the stool guaiac test
通过粪便愈创木脂试验大规模筛查结直肠肿瘤的风险和益处
- DOI:
- 发表时间:
1983 - 期刊:
- 影响因子:0
- 作者:
D. Winchester;Joanne Sylvester;Mary Lou Maher - 通讯作者:
Mary Lou Maher
An Exploratory Study on the Impact of AI tools on the Student Experience in Programming Courses: an Intersectional Analysis Approach
人工智能工具对学生编程课程体验影响的探索性研究:交叉分析方法
- DOI:
10.1109/fie58773.2023.10343037 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Mary Lou Maher;Sri Yash Tadimalla;Dhruv Dhamani - 通讯作者:
Dhruv Dhamani
Implications of Identity in AI: Creators, Creations, and Consequences
人工智能中身份的含义:创造者、创造和后果
- DOI:
10.1609/aaaiss.v3i1.31268 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Sri Yash Tadimalla;Mary Lou Maher - 通讯作者:
Mary Lou Maher
A Grassroots Mammography Demonstration Project Targeted to Medically Underserved Rural and Urban Illinois Women of Diverse Races and Ethnicity
针对医疗服务不足的伊利诺伊州农村和城市不同种族和族裔妇女的草根乳房X光检查示范项目
- DOI:
10.1111/j.1524-4741.1997.tb00137.x - 发表时间:
1997 - 期刊:
- 影响因子:0
- 作者:
Lola Flamm;Arthur G. Michel;H. J. Lasky;Mary Lou Maher;Joanne Sylvester;Stephen F. Sener - 通讯作者:
Stephen F. Sener
Mary Lou Maher的其他文献
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{{ truncateString('Mary Lou Maher', 18)}}的其他基金
Conference: NSF Workshop: Expanding Capacity and Diversity in AI Education
会议:NSF 研讨会:扩大人工智能教育的能力和多样性
- 批准号:
2330257 - 财政年份:2023
- 资助金额:
$ 88.87万 - 项目类别:
Standard Grant
Examining the Effects of Course Climate, Active Learning, and Intersectional Identities on Undergraduate Student Success in Computing
检查课程气氛、主动学习和交叉身份对本科生计算机成功的影响
- 批准号:
2111376 - 财政年份:2021
- 资助金额:
$ 88.87万 - 项目类别:
Standard Grant
I-Corps: Digital Platform for Informal Learning Experiences to Encourage Curiosity in STEM Career Paths
I-Corps:提供非正式学习体验的数字平台,鼓励对 STEM 职业道路的好奇心
- 批准号:
2031900 - 财政年份:2020
- 资助金额:
$ 88.87万 - 项目类别:
Standard Grant
EAGER: An Interactive Learning Analytics Framework based on a Student Sequence Model for understanding students, retention, and time to graduation
EAGER:基于学生序列模型的交互式学习分析框架,用于了解学生、保留率和毕业时间
- 批准号:
1820862 - 财政年份:2018
- 资助金额:
$ 88.87万 - 项目类别:
Standard Grant
Collaborative Research: Developing a Systemic, Scalable Model to Broaden Participation in Middle School Computer Science
合作研究:开发系统的、可扩展的模型以扩大中学计算机科学的参与
- 批准号:
1837240 - 财政年份:2018
- 资助金额:
$ 88.87万 - 项目类别:
Standard Grant
RI: Small: CompCog: Pique: A Cognitive Model of Curiosity for Personalizing Sequences of Learning Resources
RI:小:CompCog:Pique:用于个性化学习资源序列的好奇心认知模型
- 批准号:
1618810 - 财政年份:2016
- 资助金额:
$ 88.87万 - 项目类别:
Standard Grant
IUSE/PFE:RED: The Connected Learner: Design Patterns for Transforming Computing and Informatics Education
IUSE/PFE:RED:互联学习者:变革计算和信息学教育的设计模式
- 批准号:
1519160 - 财政年份:2015
- 资助金额:
$ 88.87万 - 项目类别:
Standard Grant
EAGER: Collaborative Research: A Computational Model for Evaluating the Quality of Citizen Science Contributions
EAGER:协作研究:评估公民科学贡献质量的计算模型
- 批准号:
1451079 - 财政年份:2014
- 资助金额:
$ 88.87万 - 项目类别:
Standard Grant
VOSS: Crowdsourcing interaction design for citizen science virtual organizations
VOSS:公民科学虚拟组织的众包交互设计
- 批准号:
1221513 - 财政年份:2012
- 资助金额:
$ 88.87万 - 项目类别:
Standard Grant
HCC: Small: Designing Tangible Computing for Creativity
HCC:小型:为创造力设计有形计算
- 批准号:
1218160 - 财政年份:2012
- 资助金额:
$ 88.87万 - 项目类别:
Continuing Grant
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