Collaborative EAGER: Novel Ethnographic Investigations of Engineering Workplaces to Advance Theory and Research Methods for Preparing the Future Workforce

协作 EAGER:对工程工作场所进行新颖的民族志调查,以推进为未来劳动力做好准备的理论和研究方法

基本信息

  • 批准号:
    1939105
  • 负责人:
  • 金额:
    $ 8.06万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

The competitive strength of the nation in the technological arena depends on the success of the engineering workforce. It is therefore crucial that we develop better scientific understanding of how engineers work, as well as how their work is changing. Without well-researched and trustworthy representations of professional practice, it is questionable whether educators can adequately prepare future engineers for their careers. Yet there remains a persistent lack of research on what engineers do in the workplace. This exploratory project will help bridge these gaps by testing new research approaches to generate new knowledge about what engineers do at work. Traditionally, such research has been conducted through direct observations in a physical workplace. This approach needs to be modified since open workspaces, geographically distributed teams, and new digital tools make it increasingly infeasible to perform on-site research for long periods of time, both for researchers, funders, and study sites. Other approaches like surveys and interviews are often easier to carry out, but are limited in what kinds of insights they can provide. The novelty and exploratory aspect of the proposed study comes from taking new and different empirical approaches to study engineering workplace practices. Findings and resources developed through this project will support ongoing efforts to improve how current and future engineers are trained to succeed and excel in their job roles and careers. In this exploratory project we will undertake innovative approaches to collecting, analyzing, and archiving empirical data related to engineering practice. This project will involve ethnographic research at multiple field sites representing multiple industry sectors using novel methods such as agile ethnography, trace ethnography, and network ethnography. These methods are new and evolving, and thus have scarcely been used to study engineering practice. Yet they appear highly promising for many reasons, including their potential to generate research findings more rapidly and with a greater focus on specific problems and questions. Such methods have started to gain traction in industry precisely due to such advantages, especially in software engineering and related fields where work is already very digital and distributed in character. The field studies proposed for this project are especially concerned with how work is coordinated and aligned within and across teams, including through the use of digital data and tools. This project will also investigate and respond to three specific research challenges: 1) aligning new data collection and analysis approaches with emerging research topics and site access constraints, 2) managing, archiving, and sharing multi-modal ethnographic data sets, and 3) exploring alternative approaches to communicating research findings, including formats and styles that are more accessible and appealing to different audiences.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.
一个国家在技术竞技场的竞争力取决于工程师队伍的成功。因此,至关重要的是,我们要对工程师的工作方式以及他们的工作如何变化有更好的科学理解。如果没有经过充分研究和值得信赖的专业实践,教育工作者是否能为未来的工程师职业生涯做好充分的准备是值得怀疑的。然而,关于工程师在工作场所做什么的研究仍然持续缺乏。这个探索性的项目将通过测试新的研究方法来帮助弥合这些差距,以产生关于工程师在工作中做什么的新知识。传统上,这种研究是通过在实际工作场所进行直接观察来进行的。这种方法需要修改,因为开放式网络,地理上分散的团队,和新的数字化工具,使它越来越不可行,无论是研究人员,资助者和研究地点进行长时间的现场研究。其他方法,如调查和访谈,往往更容易进行,但在他们可以提供什么样的见解有限。所提出的研究的新奇和探索性方面来自于采取新的和不同的实证方法来研究工程工作场所的做法。通过该项目开发的结果和资源将支持正在进行的努力,以改善当前和未来的工程师如何在工作角色和职业生涯中获得成功和卓越的培训。在这个探索性的项目中,我们将采取创新的方法来收集,分析和归档与工程实践相关的经验数据。该项目将涉及民族志研究在多个现场代表多个行业部门使用新的方法,如敏捷民族志,痕迹民族志和网络民族志。这些方法是新的和不断发展的,因此很少被用于研究工程实践。然而,由于许多原因,它们似乎很有希望,包括它们有可能更快地产生研究结果,并更加注重具体问题。正是由于这些优势,这些方法已经开始在工业中获得吸引力,特别是在软件工程和相关领域,这些领域的工作已经非常数字化和分布式。为该项目提议的实地研究特别关注如何在团队内部和团队之间协调和调整工作,包括通过使用数字数据和工具。该项目还将调查和应对三个具体的研究挑战:1)使新的数据收集和分析方法与新兴的研究主题和网站访问限制保持一致,2)管理,存档和共享多模式人种学数据集,以及3)探索交流研究结果的替代方法,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进行评估,更广泛的影响审查标准。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Mediation and Maintenance in Engineering Professional Work Practices: Findings from a Utility Company
工程专业工作实践中的调解和维护:来自公用事业公司的调查结果
  • DOI:
    10.18260/1-2--43616
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Korte, Russell;Brozina, Cory;Johri, Aditya;Jesiek, Brent
  • 通讯作者:
    Jesiek, Brent
A Review of Digital Ethnographic Methods with Implications for Engineering Education Research
数字民族志方法综述及其对工程教育研究的启示
Investigating Engineering Practice Using Ethnographic Methods: Experiences of Student Observers at Multiple Field Sites
使用民族志方法调查工程实践:多个现场的学生观察员的经验
  • DOI:
    10.18260/1-2--43870
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jesiek, Brent;Leftwich, Brooks;Korte, Russell;Brozina, Cory;Johri, Aditya
  • 通讯作者:
    Johri, Aditya
Work-in-Progress: Novel Ethnographic Investigations of Engineering Work Practices
正在进行的工作:工程工作实践的新颖的民族志调查
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jesiek, B.;Johri, A.;Brozina, C.;Korte, R.
  • 通讯作者:
    Korte, R.
Engineers' Situated Use of Digital Resources to Augment their Workplace Learning Ecology
工程师利用数字资源来增强工作场所学习生态
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Aditya Johri其他文献

SeeMore: A kinetic parallel computer sculpture for educating broad audiences on parallel computation
  • DOI:
    10.1016/j.jpdc.2017.01.017
  • 发表时间:
    2017-07-01
  • 期刊:
  • 影响因子:
  • 作者:
    Bo Li;John Mooring;Sam Blanchard;Aditya Johri;Melinda Leko;Kirk W. Cameron
  • 通讯作者:
    Kirk W. Cameron
Representational literacy and participatory learning in large engineering classes using pen-based computing
使用笔式计算在大型工程课程中进行表征素养和参与式学习
Use of Twitter across educational settings: a review of the literature
Generative Artificial Intelligence in Higher Education: Evidence from an Analysis of Institutional Policies and Guidelines
高等教育中的生成人工智能:来自机构政策和指南分析的证据
  • DOI:
    10.48550/arxiv.2402.01659
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Nora McDonald;Aditya Johri;Areej Ali;Aayushi Hingle
  • 通讯作者:
    Aayushi Hingle
Teaching Multidimensional Ethical Decision-Making Through a Role-Play Case Study
通过角色扮演案例研究教授多维道德决策

Aditya Johri的其他文献

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{{ truncateString('Aditya Johri', 18)}}的其他基金

Education DCL: EAGER: An Embedded Case Study Approach for Broadening Students' Mindset for Ethical and Responsible Cybersecurity
教育 DCL:EAGER:一种嵌入式案例研究方法,用于拓宽学生道德和负责任的网络安全思维
  • 批准号:
    2335636
  • 财政年份:
    2024
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant
EAGER: Impact of Generative Artificial Intelligence (GAI) on Engineering Education Practices
EAGER:生成人工智能 (GAI) 对工程教育实践的影响
  • 批准号:
    2319137
  • 财政年份:
    2023
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant
Workshop: ProVis-EER: Developing Professional Vision into Empirical Practices within Engineering Education Research (EER) though Digital Apprenticeship
研讨会:ProVis-EER:通过数字学徒制将专业愿景发展为工程教育研究 (EER) 中的实证实践
  • 批准号:
    2112775
  • 财政年份:
    2021
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant
Workshop: Building an Inclusive Foundation of Engineering Education Research Scholarship for Future Growth
研讨会:为未来发展建立工程教育研究奖学金的包容性基础
  • 批准号:
    1941186
  • 财政年份:
    2020
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant
Situated Algorithmic Thinking: Preparing the Future Computing Workforce for Ethical Decision-Making through Interactive Case Studies
情境算法思维:通过交互式案例研究为未来的计算劳动力进行道德决策做好准备
  • 批准号:
    1937950
  • 财政年份:
    2020
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant
EAGER: Social Media Participation as Indicator of Actors, Awareness, Attitudes, and Activities Related to STEM Education
EAGER:社交媒体参与度作为与 STEM 教育相关的参与者、意识、态度和活动的指标
  • 批准号:
    1707837
  • 财政年份:
    2017
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant
Deeper Learning of Data Science (DLDS): Studying Real-world Experiences of Engineering Professionals to Prepare the Future Workforce
数据科学深度学习 (DLDS):研究工程专业人员的真实经验,为未来的劳动力做好准备
  • 批准号:
    1712129
  • 财政年份:
    2017
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Technology Adoption during Environmental Jolts: Mobile Phone Use and Digital Services Appropriation during India's Demonetization Crisis
RAPID:合作研究:环境动荡期间的技术采用:印度废钞危机期间的手机使用和数字服务挪用
  • 批准号:
    1733634
  • 财政年份:
    2017
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant
Collaborative Research: Deep Insights Anytime, Anywhere (DIA2) - Central Resource for Characterizing the TUES Portfolio through Interactive Knowledge Mining and Visualizations
协作研究:随时随地深入洞察 (DIA2) - 通过交互式知识挖掘和可视化来表征 TUES 产品组合的中心资源
  • 批准号:
    1444277
  • 财政年份:
    2014
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Continuing Grant
Collaborative Research (EAGER): Data Ecosystem for Catalyzing Transformative Research in Engineering Education
协作研究(EAGER):促进工程教育变革性研究的数据生态系统
  • 批准号:
    1306373
  • 财政年份:
    2014
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant

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  • 批准号:
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  • 批准号:
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Collaborative EAGER: Novel Ethnographic Investigations of Engineering Workplaces to Advance Theory and Research Methods for Preparing the Future Workforce
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  • 批准号:
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Collaborative EAGER: Novel Ethnographic Investigations of Engineering Workplaces to Advance Theory and Research Methods for Preparing the Future Workforce
协作 EAGER:对工程工作场所进行新颖的民族志调查,以推进为未来劳动力做好准备的理论和研究方法
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    1938744
  • 财政年份:
    2020
  • 资助金额:
    $ 8.06万
  • 项目类别:
    Standard Grant
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