Retooling A Machine Tool Technician Program In North Central Wisconsin to Support Diversity, Flexibility, and Accessibility

威斯康星州中北部的机床技术员项目重组,以支持多样性、灵活性和可访问性

基本信息

  • 批准号:
    2201611
  • 负责人:
  • 金额:
    $ 34.25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

The north central Wisconsin region is a hotspot for machine tool technician jobs, more than double the national average. This project from Northcentral Technical College will integrate research and education to combine a revised curriculum with targeted outreach to nontraditional populations to improve outcomes in their Machine Tool Technician Program. Over the three-year project, 30 students will be recruited to complete credentials that will lead to high demand technician careers. Northcentral Technical College will revise its Machine Tooling program to (1) include industry relevant skills, (2) adopt flexible scheduling, (3) provide culturally relevant professional development for faculty and staff, (4) perform outreach through the College’s Advanced Manufacturing and Emerging Technologies mobile labs, and (5) establish peer/near-peer mentorships. As a result, the college intends to increase recruitment, matriculation, completion, and employment of students in the Machine Tool Technician program, with an emphasis on students of Southeast Asian/Hmong descent. Students will have the option to earn up to four stackable credentials ranging from a 4-credit certificate to a 58-credit degree. The overall goal of the Project is to increase the skilled machine tool technician workforce in central Wisconsin. Thirty students are expected to enroll over the three-year period with a special focus on broadening participation in the profession of populations that are significantly underrepresented in the field. The project’s objective is to increase awareness of, access to, and enrollment in machine tool technician educational and career pathways for non-traditional students with an emphasis on Southeast Asian/Hmong adults. The current curriculum will be reviewed and modified to include current machine tool technologies, culturally responsive teaching, internships, and flexible delivery options. Machine tool program faculty, advisors, instructional assistants, and other student services personnel will participate in professional development on Southeast Asian/Hmong culture in order to better relate to and support their learning. Collaboration with the Hmong American Center and local manufacturing leaders will support recruitment, identification of project mentors, and community outreach. Workforce mentors will provide guidance and encouragement to students by sharing personal and career experiences. The Machine Tool Advisory Committee/Business and Industry Leadership Team (BILT) will provide project oversight. The project team will collaborate with regional cultural organizations, workforce development boards, job centers, and regional machine tool employers to implement and disseminate the full scope of work. This project is funded by the Advanced Technological Education program that focuses on the education of technicians for the advanced-technology fields that drive the Nation's economy.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.
威斯康星州中北部地区是机床技术员工作的热点,是全国平均水平的两倍多。来自中北部技术学院的这个项目将把研究和教育结合起来,把联合收割机修订后的课程与针对非传统人口的外联活动结合起来,以提高他们的机床技师计划的成果。 在为期三年的项目中,将招募30名学生完成证书,这将导致高需求的技术人员职业。Northcentral技术学院将修改其机床程序(1)包括行业相关的技能,(2)采用灵活的调度,(3)为教师和工作人员提供文化相关的专业发展,(4)通过学院的先进制造和新兴技术移动的实验室进行推广,以及(5)建立同行/近同行的指导。 因此,学院打算增加招聘,预科,完成,并在机床技术员计划的学生就业,重点是东南亚/苗族后裔的学生。学生可以选择获得多达四个可堆叠的证书,从4学分的证书到58学分的学位。该项目的总体目标是增加威斯康星州中部熟练机床技术人员的劳动力。预计在三年期间将招收30名学生,特别注重扩大在该领域代表性严重不足的人口的专业参与。该项目的目标是提高非传统学生对机床技术员教育和职业途径的认识、获得机会和入学率,重点是东南亚/苗族成年人。目前的课程将进行审查和修改,以包括当前的机床技术,文化适应性教学,实习和灵活的交付选择。机床程序教师,顾问,教学助理和其他学生服务人员将参与东南亚/苗族文化的专业发展,以更好地与支持他们的学习。与苗族美国中心和当地制造业领导人的合作将支持招聘,项目导师的识别和社区推广。劳动力导师将通过分享个人和职业经验为学生提供指导和鼓励。机床咨询委员会/商业和工业领导小组(BILT)将提供项目监督。项目团队将与区域文化组织、劳动力发展委员会、就业中心和区域机床雇主合作,实施和传播整个工作范围。该项目由先进技术教育计划资助,该计划侧重于推动国家经济的先进技术领域的技术人员的教育。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Frank Fernandes其他文献

Frank Fernandes的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

相似国自然基金

Understanding structural evolution of galaxies with machine learning
  • 批准号:
    n/a
  • 批准年份:
    2022
  • 资助金额:
    10.0 万元
  • 项目类别:
    省市级项目

相似海外基金

N2Vision+: A robot-enabled, data-driven machine vision tool for nitrogen diagnosis of arable soils
N2Vision:一种由机器人驱动、数据驱动的机器视觉工具,用于耕地土壤的氮诊断
  • 批准号:
    10091423
  • 财政年份:
    2024
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Collaborative R&D
A Novel Contour-based Machine Learning Tool for Reliable Brain Tumour Resection (ContourBrain)
一种基于轮廓的新型机器学习工具,用于可靠的脑肿瘤切除(ContourBrain)
  • 批准号:
    EP/Y021614/1
  • 财政年份:
    2024
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Research Grant
I-Corps: Translation Potential of a Machine Learning Risk Stratification Tool for Venous Thromboembolism
I-Corps:机器学习风险分层工具对静脉血栓栓塞的转化潜力
  • 批准号:
    2420417
  • 财政年份:
    2024
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Standard Grant
Machine learning tool to facilitate microplastic analysis
促进微塑料分析的机器学习工具
  • 批准号:
    24K20940
  • 财政年份:
    2024
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Optimising CNC Machine Tool Coolant Fluid condition to prolong usage and efficiency of an expensive essential resource thereby reducing cost, improving production quality and protecting operators using a unique and innovative Coolant Monitoring Analyser
使用独特和创新的冷却液监测分析仪优化数控机床冷却液条件,延长昂贵的重要资源的使用时间和效率,从而降低成本、提高生产质量并保护操作员
  • 批准号:
    10075142
  • 财政年份:
    2023
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Grant for R&D
Bayesian Machine Learning as a tool for Climate Scientists: An In-Person Workshop at the University of Cambridge
贝叶斯机器学习作为气候科学家的工具:剑桥大学的面对面研讨会
  • 批准号:
    NE/Y003675/1
  • 财政年份:
    2023
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Training Grant
DataSim: A Machine Learning-powered simulation tool for rail timetable optimisation
DataSim:用于铁路时刻表优化的机器学习驱动的模拟工具
  • 批准号:
    10090014
  • 财政年份:
    2023
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Collaborative R&D
I-Corps: A Machine Learning Tool for Medical Device History and Recalls
I-Corps:用于医疗器械历史和召回的机器学习工具
  • 批准号:
    2334058
  • 财政年份:
    2023
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Standard Grant
CRII: SCH: Developing a new hybrid interactive machine learning software tool for cancer researchers
CRII:SCH:为癌症研究人员开发一种新的混合交互式机器学习软件工具
  • 批准号:
    2409704
  • 财政年份:
    2023
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Standard Grant
Machine Learning based Geospatial Sensitivity Analysis Tool (ML-GeoSAT) for Gross Exposure to Climate-Related Risks
基于机器学习的地理空间敏感性分析工具 (ML-GeoSAT),用于应对气候相关风险的总体暴露
  • 批准号:
    10031472
  • 财政年份:
    2022
  • 资助金额:
    $ 34.25万
  • 项目类别:
    Small Business Research Initiative
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了