Collaborative Research: Replication of a Community-Engaged Educational Ecosystem Model in Rust Belt Cities

合作研究:在铁锈地带城市复制社区参与的教育生态系统模式

基本信息

  • 批准号:
    2111377
  • 负责人:
  • 金额:
    $ 74.58万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-10-01 至 2022-01-31
  • 项目状态:
    已结题

项目摘要

This project aims to serve the national interest by improving educational environments that contribute to strengthening and diversifying the regional STEM workforce. The challenges of building a STEM workforce in shrinking Rust Belt cities are addressed by replicating and examining an effective STEM learning environment that applies and innovates high impact practices. Rust Belt cities refer to areas of the northern and Midwest United States that were once known for steel production and heavy industry. These cities often have high poverty rates and lower educational attainment in STEM, highlighting the need to bridge the divide of communities that can engage in the knowledge economy. This project aims to build STEM attraction and retention by immersing high school and college students in the STEM knowledge, skill, and capacity needs of deindustrialized cities using project-based learning, community engagement, and community development techniques. The Community-Engaged Educational Ecosystem Model (C-EEEM) was first developed and implemented in South Bend, Indiana in the Center for Civic Innovation at the University of Notre Dame. It produced a sustainable network of educational institutions and community stakeholders in delivering a high impact STEM learning environment. This project will replicate and study the C-EEEM in two other cities, Youngstown, Ohio and Erie, Pennsylvania. The ultimate goal of the project is to establish an interconnected network of STEM education initiatives to benefit the regional workforce.This project seeks to answer questions about the implementation of the C-EEEM in two sites with different community characteristics and types of anchor institutions. The project will also investigate differences in learning and dispositional outcomes in students in these new contexts. Consequently, units of analysis are nested: 1) the learning environment created by the C-EEEM and 2) the individual students. Both levels of examination use structured mixed-methods data collection. For students, the research will explore STEM motivation and persistence in STEM career pathways using theoretical framing derived from Self Determination Theory (SDT), as well as explore and expand on pilot findings regarding place attachment. For the C-EEEM learning environment, researchers will examine the core elements and critical factors specified from the pilot C-EEEM against the development of the new sites, allowing for comparison and assessment of relevance of the C-EEEM specifications in different conditions as well as identification of adaptations for generalizability. Concurrently, researchers will look for differences in student outcomes correlating with model differences. The NSF IUSE: EHR Program supports research and development projects to improve the effectiveness of STEM education for all students. Through the Institutional and Community Transformation track, the program supports efforts to transform and improve STEM education across institutions of higher education and disciplinary communities.This 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.
该项目旨在通过改善教育环境来服务于国家利益,从而有助于加强地区 STEM 劳动力并使其多样化。通过复制和检验有效的 STEM 学习环境(应用和创新高影响力实践),可以解决在不断萎缩的铁锈地带城市建设 STEM 劳动力的挑战。锈带城市是指美国北部和中西部曾经以钢铁生产和重工业而闻名的地区。这些城市的贫困率往往较高,STEM 教育程度较低,这凸显了弥合参与知识经济的社区鸿沟的必要性。该项目旨在利用基于项目的学习、社区参与和社区发展技术,让高中生和大学生沉浸在非工业化城市的 STEM 知识、技能和能力需求中,从而增强 STEM 的吸引力和保留率。社区参与教育生态系统模型 (C-EEEM) 最初由印第安纳州南本德圣母大学公民创新中心开发和实施。它建立了一个由教育机构和社区利益相关者组成的可持续网络,以提供具有高影响力的 STEM 学习环境。该项目将在另外两个城市(俄亥俄州扬斯敦和宾夕法尼亚州伊利)复制和研究 C-EEEM。该项目的最终目标是建立一个相互关联的 STEM 教育计划网络,以使地区劳动力受益。该项目旨在回答有关在具有不同社区特征和锚定机构类型的两个地点实施 C-EEEM 的问题。该项目还将调查学生在这些新环境中学习和性格结果的差异。因此,分析单元是嵌套的:1) C-EEEM 创建的学习环境和 2) 个别学生。两个级别的考试都使用结构化混合方法数据收集。对于学生来说,该研究将利用源自自我决定理论 (SDT) 的理论框架探索 STEM 动机和对 STEM 职业道路的坚持,并探索和扩展有关地方依恋的试点结果。对于 C-EEEM 学习环境,研究人员将根据新站点的开发检查试点 C-EEEM 中指定的核心要素和关键因素,从而比较和评估不同条件下 C-EEEM 规范的相关性作为对普遍性适应性的识别。同时,研究人员将寻找与模型差异相关的学生成绩差异。 NSF IUSE:EHR 计划支持研究和开发项目,以提高所有学生 STEM 教育的有效性。通过机构和社区转型轨道,该计划支持高等教育机构和学科界的 STEM 教育转型和改进工作。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优势和更广泛的影响进行评估,被认为值得支持审查标准。

项目成果

期刊论文数量(0)
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Faisal Aqlan其他文献

Applying Product Manufacturing Techniques to Teach Data Analytics in Industrial Engineering: A Project Based Learning Experience
应用产品制造技术教授工业工程中的数据分析:基于项目的学习体验
Cereal sprout‐based food products: Industrial application, novel extraction, consumer acceptance, antioxidant potential, sensory evaluation, and health perspective
谷物芽菜食品:工业应用、新颖提取、消费者接受度、抗氧化潜力、感官评价和健康视角
  • DOI:
    10.1002/fsn3.3830
  • 发表时间:
    2023-11-14
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Zahra Maqbool;Waseem Khalid;Mahum;Anosha Khan;Maliha Azmat;Aqeela Sehrish;Sania Zia;Hyrije Koraqi;A. Al;Faisal Aqlan;Khalid Ali Khan
  • 通讯作者:
    Khalid Ali Khan
Big Data ETL Implementation Approaches: A Systematic Literature Review (P)
大数据ETL实现方法:系统文献综述(P)
  • DOI:
    10.18293/seke2018-152
  • 发表时间:
    2018-07-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Joshua C. Nwokeji;Faisal Aqlan;A. Anugu;Ayodele Olagunju
  • 通讯作者:
    Ayodele Olagunju
A Modelling Technique for Enterprise Agility
企业敏捷性建模技术
  • DOI:
    10.24251/hicss.2018.584
  • 发表时间:
    2018-01-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Joshua C. Nwokeji;Faisal Aqlan;T. Clark;B. Barn;V. Kulkarni
  • 通讯作者:
    V. Kulkarni
Behavioral Modeling of Collaborative Problem Solving in Multiplayer Virtual Reality Manufacturing Simulation Games
多人虚拟现实制造仿真游戏中协作解决问题的行为建模

Faisal Aqlan的其他文献

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{{ truncateString('Faisal Aqlan', 18)}}的其他基金

Collaborative Research: An Extended Reality Factory Innovation for Adaptive Problem-solving and Personalized Learning in Manufacturing Engineering
协作研究:制造工程中自适应问题解决和个性化学习的扩展现实工厂创新
  • 批准号:
    2302833
  • 财政年份:
    2023
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Standard Grant
REU Site in Advanced Manufacturing and Supply Chain
REU 先进制造和供应链基地
  • 批准号:
    2244119
  • 财政年份:
    2023
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Standard Grant
Integrating Undergraduate Learning in Engineering and Business to Improve Manufacturing Education
将工程和商业本科学习相结合以改善制造教育
  • 批准号:
    2211066
  • 财政年份:
    2022
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Standard Grant
GOALI: Stochastic Optimization Framework for Energy-Smart Re/Manufacturing Systems
GOALI:能源智能再造/制造系统的随机优化框架
  • 批准号:
    2038325
  • 财政年份:
    2021
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Standard Grant
RET Site in Manufacturing Simulation and Automation
制造仿真和自动化中的 RET 站点
  • 批准号:
    2204719
  • 财政年份:
    2021
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Standard Grant
RET Site in Manufacturing Simulation and Automation
制造仿真和自动化中的 RET 站点
  • 批准号:
    2055384
  • 财政年份:
    2021
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Standard Grant
RET Site in Manufacturing Simulation and Automation
制造仿真和自动化中的 RET 站点
  • 批准号:
    2204601
  • 财政年份:
    2021
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Standard Grant
RET Site in Manufacturing Simulation and Automation
制造仿真和自动化中的 RET 站点
  • 批准号:
    2204601
  • 财政年份:
    2021
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Standard Grant
Collaborative Research: Replication of a Community-Engaged Educational Ecosystem Model in Rust Belt Cities
合作研究:在铁锈地带城市复制社区参与的教育生态系统模式
  • 批准号:
    2152282
  • 财政年份:
    2021
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Continuing Grant
RET Site in Manufacturing Simulation and Automation
制造仿真和自动化中的 RET 站点
  • 批准号:
    2204719
  • 财政年份:
    2021
  • 资助金额:
    $ 74.58万
  • 项目类别:
    Standard Grant

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