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
- 来源:
- 关键词:
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.
在技术领域,国家的竞争力量取决于工程劳动力的成功。因此,至关重要的是,我们对工程师的工作方式以及他们的工作如何改变至关重要。如果没有对专业实践的充分研究和值得信赖的表现,教育者是否可以充分为未来的工程师做好职业准备,这是值得怀疑的。然而,对于工程师在工作场所中的工作仍缺乏研究。该探索性项目将通过测试新的研究方法来帮助弥合这些差距,以产生有关工程师在工作中所做的新知识的知识。传统上,这种研究是通过在物理工作场所进行的直接观察进行的。需要修改这种方法,因为开放的工作空间,地理分布的团队和新的数字工具使得长期进行现场研究越来越不可行,无论是针对研究人员,资助者和研究地点而言。调查和访谈等其他方法通常更容易执行,但是在可以提供的见解方面受到限制。拟议研究的新颖性和探索性方面来自采用新的和不同的经验方法来研究工程工作场所实践。通过该项目开发的发现和资源将支持持续的努力,以改善如何对当前和未来的工程师的成功和职业培训。在这个探索性项目中,我们将采取创新的方法来收集,分析和存档与工程实践有关的经验数据。该项目将涉及在多个现场的民族志研究,使用敏捷民族志,痕量民族志和网络民族志等新方法来代表多个行业领域。这些方法是新的且不断发展的,因此几乎没有用于研究工程实践。然而,由于许多原因,它们似乎很有希望,包括他们更迅速地产生研究发现的潜力,并更加关注特定问题和问题。由于这种优势,这种方法已经开始在行业中引起关注,尤其是在软件工程和相关领域中,工作已经非常数字化并以性格分发。该项目提出的现场研究特别关注工作方式如何协调和对齐,包括使用数字数据和工具。该项目还将调查并应对三个特定的研究挑战:1)将新的数据收集和分析方法与新兴的研究主题和现场访问约束结合在一起,2)管理,归档和共享多模式民族志数据集,以及3)探索交流研究结果的替代方法,包括更容易访问和吸引不同受众的格式和样式。该奖项反映了NSF的法定任务,并使用基金会的知识分子优点和更广泛的影响审查标准,认为值得通过评估来获得支持。
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
- DOI:10.1109/fie49875.2021.9637057
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Brozina, Cory;Johri, Aditya;Jesiek, Brent;Korte, Russ
- 通讯作者:Korte, Russ
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
Lifelong and lifewide learning for the perpetual development of expertise in engineering
终身、全方位学习,以不断发展工程专业知识
- DOI:10.1080/03043797.2021.1944064
- 发表时间:2021
- 期刊:
- 影响因子:2.3
- 作者:Johri, Aditya
- 通讯作者:Johri, Aditya
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
- DOI:10.1109/fie49875.2021.9637421
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Le, Hieu-Trung;Johri, Aditya
- 通讯作者:Johri, Aditya
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Aditya Johri其他文献
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
- DOI:
10.1109/fie.2008.4720401 - 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Aditya Johri;V. Lohani - 通讯作者:
V. Lohani
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
- DOI:
10.1109/fie58773.2023.10343022 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Shruti Mehta;Ashish Hingle;Aditya Johri - 通讯作者:
Aditya Johri
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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