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

基本信息

  • 批准号:
    2112775
  • 负责人:
  • 金额:
    $ 9.96万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-12-01 至 2024-11-30
  • 项目状态:
    已结题

项目摘要

The preparation of a future engineering workforce depends critically on our ability to provide excellence in training and through our efforts to train a diverse range of stakeholders for the engineering profession. Increasingly within the United States institutions are creating programs, courses, and centers to support the preparation of the future engineer. This institutional and education infrastructure depends on a better and deeper understanding of how engineering education works best in order to support their efforts and initiatives. This project will contribute to this mission by increasing and improving the capacity of engineering educators to undertake research on engineering education. Through this series of workshops newcomers to the field will be able to learn first-hand from scholar-experts in the field. The online nature of the workshops will ensure that a large number of participants are able to undergo the sessions. Furthermore, the resources created as part of this project will be available for future training purposes. Overall, this work is crucial for the growing field of engineering education and the ability of future engineering educators to learn from a diverse set of scholar-experts will broaden the kinds of research that are done as well as the outcomes of the research. This project aligns with NSF’s investment in the Research in Formation of Engineers (RFE) program by creating better engineering education researchers that can support the training of future engineers and who can undertake better research for us to know how to create a more inclusive engineering workforce for the future. Building capacity for engineering education research (EER) is a core goal of NSF and organizations such as the American Society for Engineering Education (ASEE) and the National Academies of Sciences, Engineering, and Medicine (NASEM). Over the past decade the community has made significant gains towards achieving this objective as evidenced by increasing number of departments and centers directed towards engineering education across institutions. Propagation of EER practices has largely been through face-to-face interactions, including doctoral programs, working in research laboratories, and workshops and tutorials at professional development meetings. These in person engagements and events are prohibitive for many who would benefit from developing a better understanding of how research is conducted. They also limit new researchers in exposure to a broader diversity of views and research practices. This proposed series of digital workshops are designed as a “swift apprenticeship” experiences to increase the formation of EER practitioners by creating exemplars of engineering education research practices that take the learner through the entire lifecycle of a project and provide an avenue for learning by example, scaffolded by experts. Experts will focus on one of their exemplary published research papers and deconstruct/reconstruct how that research was done and the paper produced including matters of theory, methods, and review. The reconstruction will take place as a conversation with the PI/s which will be captured on video and audio and drafts of papers and other relevant artifacts will be collected and shared. It will also invite questions from a set of novice participants and commentary from other experts to provide another viewpoint and additional context on research practices. This project will benefit engineering education graduate students, engineering graduate students and faculty in other disciplines interested in engineering education research, and postdoctoral scholars. This work will contribute to research on engineering education, especially the use of professional vision and scaffolding for novices, and on transfer learning for research practices.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.
准备工程劳动力批准在培训方面提供卓越的培训,而我们的诗歌范围是一系列课程,课程,课程,课程,课程支持Ture工程师的准备。通过这一任务,并通过这一系列的讲习班来提高对教育的研究,这将是在该领域的一些人。为了使会议的发展。以及研究的成果)是NSF的核心目标,例如美国工程教育学会(ASEE)和美国国家学院(National of Scieng)和医学学院(NASEM)的目标通过面对面的互动,包括博士学位课程,在研究实验室工作,讲习班和教程l开发会议“迅速的学徒”通过创建教育研究的工程来形成,以使学习者的整个生命周期和以身式学习的整个生命周期。产生的是理论,方法和审查。在研究实践中。值得支持的态度值得提高审查标准。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Knowledge Construction in Engineering Education Research – Assessing the Role of Journals, Books, Conferences, and Other Products of Research
工程教育研究中的知识构建——评估期刊、书籍、会议和其他研究产品的作用
  • DOI:
    10.1109/fie56618.2022.9962543
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Johri, Aditya;Edstrom, Kristina;Du, Xiangyun;Mitchell, John;May, Dominik
  • 通讯作者:
    May, Dominik
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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
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:
    $ 9.96万
  • 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:
    $ 9.96万
  • 项目类别:
    Standard Grant
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
  • 批准号:
    1939105
  • 财政年份:
    2020
  • 资助金额:
    $ 9.96万
  • 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:
    $ 9.96万
  • 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:
    $ 9.96万
  • 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:
    $ 9.96万
  • 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:
    $ 9.96万
  • 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:
    $ 9.96万
  • 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:
    $ 9.96万
  • 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:
    $ 9.96万
  • 项目类别:
    Standard Grant
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