Creating Pathways for Big Data Careers

为大数据职业创造途径

基本信息

  • 批准号:
    1501927
  • 负责人:
  • 金额:
    $ 85.26万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-09-15 至 2022-08-31
  • 项目状态:
    已结题

项目摘要

The quantity of digital data created globally is growing exponentially, and workers in many professions need skills to organize and analyze the deluge of data that confronts them. To address the urgent need for workers who have "big data" skills, the Oceans of Data Institute (ODI) of the Education Development Center will work with four community colleges that are leaders in the area of big data, data science, and data analytics to create a career pathway model for big data careers, with special attention to the "middle skill" jobs that can be filled by graduates of community college programs. Subject matter experts representing a variety of professional fields will identify the entry-level, middle-level, and high-level big data skills, knowledge, and behaviors that are needed in the workplace, and these skills, knowledge, and behaviors will then be organized and aligned with big data jobs. ODI and partners Bunker Hill Community College (Massachusetts), Normandale Community College (Minnesota), Johnson County Community College (Kansas), and Sinclair Community College (Ohio) will work together to design the big data career pathway model. They will document pathways to these careers via a system of stackable credentials that identify associate degrees, certificates, and four-year programs leading to employment. Each college will adapt the pathway model to fit the big data labor demand in its geographic region. To build the capacity of faculty to teach big data skills, Bunker Hill Community College will leverage its relationship with the Broadening Advanced Technological Education Connections (BATEC) center to deliver appropriate professional development for faculty. ODI and the partner colleges will disseminate the project's products to a national audience of community colleges (including minority serving institutions and tribal colleges) and business/industry representatives hiring for big data positions.The methodology that the project team will use to define the "Middle-Skill Big Data-Enabled Specialist" (MSBDES) has been used successfully to define other emerging occupations, has been widely validated, and has been used internationally to identify the skills needed by front-line workers. The project's products will include an occupational profile of the MSBDES, which will articulate the big data skills, knowledge, and behaviors expected by industry. The profile will be paired with rubrics that describe proficient performance of the big data middle skills. The profile and performance rubrics will provide an assessment framework that will assist community college faculty in evaluating student proficiency. These materials, along with the stackable credentials, will guide other community colleges seeking to develop big data courses and programs.
全球创建的数字数据量呈指数级增长,许多职业的工作人员需要组织和分析他们面临的大量数据的技能。为了满足对拥有“大数据”技能的工人的迫切需求,教育发展中心的数据海洋研究所(ODI)将与四所在大数据,数据科学和数据分析领域处于领先地位的社区学院合作,为大数据职业创建职业途径模型,特别关注社区学院课程毕业生可以填补的“中等技能”工作。代表各种专业领域的主题专家将确定工作场所所需的入门级,中级和高级大数据技能,知识和行为,然后将这些技能,知识和行为组织起来并与大数据工作保持一致。ODI与合作伙伴掩体希尔社区学院(马萨诸塞州)、诺曼代尔社区学院(明尼苏达州)、约翰逊县社区学院(堪萨斯)和辛克莱社区学院(俄亥俄州)将共同设计大数据职业路径模型。他们将通过一个可堆叠的证书系统来记录这些职业的途径,该系统可以识别副学士学位,证书和四年制就业计划。每个学院将调整路径模型,以适应其地理区域的大数据劳动力需求。为了培养教师教授大数据技能的能力,掩体希尔社区学院将利用其与拓宽先进技术教育联系(BATEC)中心的关系,为教师提供适当的专业发展。ODI和合作学院将向全国社区学院传播项目产品(包括少数民族服务机构和部落学院)和商业/行业代表招聘大数据职位。项目团队将用于定义“中等技能大数据专家”(MSBDES)的方法已成功用于定义其他新兴职业,已得到广泛验证,并已在国际上用于确定一线工人所需的技能。该项目的产品将包括MSBDES的职业简介,这将阐明行业所期望的大数据技能,知识和行为。该配置文件将与描述大数据中间技能熟练性能的标题配对。个人资料和表现规则将提供一个评估框架,帮助社区学院教师评估学生的能力。这些材料,沿着可堆叠的证书,将指导其他社区学院寻求开发大数据课程和计划。

项目成果

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Joyce Malyn-Smith其他文献

Erratum to: Workforce Education Models for K-12 STEM Education Programs: Reflections on, and Implications for, the NSF ITEST Program

Joyce Malyn-Smith的其他文献

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{{ truncateString('Joyce Malyn-Smith', 18)}}的其他基金

Innovation Pathways to Data Careers
数据职业的创新途径
  • 批准号:
    2031479
  • 财政年份:
    2020
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant
Computational Sciences Pathway Option for Massachusetts High School Students
马萨诸塞州高中生的计算科学衔接课程选择
  • 批准号:
    1934112
  • 财政年份:
    2019
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant
Mentoring to Support Designing and Launching of New Data Science Career Pathways at Community Colleges
指导支持社区学院设计和启动新的数据科学职业道路
  • 批准号:
    1902568
  • 财政年份:
    2019
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant
Workshop to Develop an Interdisciplinary Framework for Integrating Computational Thinking in K-12 Science, Mathematics, Technology, and Engineering Education; Oct. 2016-Waltham, MA
开发跨学科框架以将计算思维整合到 K-12 科学、数学、技术和工程教育中的研讨会;
  • 批准号:
    1647018
  • 财政年份:
    2016
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant
Online Professional Development for Exploring Computer Science
探索计算机科学的在线专业发展
  • 批准号:
    1640117
  • 财政年份:
    2016
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant
Broadening Participation of Elementary School Teachers and Students in Computer Science through STEM Integration and Statewide Collaboration
通过 STEM 整合和全州合作扩大小学教师和学生对计算机科学的参与
  • 批准号:
    1543136
  • 财政年份:
    2015
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant
Massachusetts Exploring Computer Science Partnership (MECSP)
马萨诸塞州探索计算机科学合作伙伴关系 (MECSP)
  • 批准号:
    1339300
  • 财政年份:
    2013
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant
Computational Thinking-Enabled STEM Professionals Workshop
计算思维赋能的 STEM 专业人士研讨会
  • 批准号:
    1256507
  • 财政年份:
    2012
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant
New Media Enabled Technician
新媒体支持技术员
  • 批准号:
    1104220
  • 财政年份:
    2011
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant
EAGER: Computational Thinking in Action in America's STEM Workplaces
EAGER:计算思维在美国 STEM 工作场所的实际应用
  • 批准号:
    1057672
  • 财政年份:
    2010
  • 资助金额:
    $ 85.26万
  • 项目类别:
    Standard Grant

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英国食品银行应该提供婴儿配方奶粉吗?
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