I-Corps for Learning (I-Corps-L): Propagating and Scaling Educational Innovations

I-Corps for Learning (I-Corps-L):传播和扩大教育创新

基本信息

  • 批准号:
    1450644
  • 负责人:
  • 金额:
    $ 35.48万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-10-01 至 2018-09-30
  • 项目状态:
    已结题

项目摘要

The I-Corps for Learning project addresses the problem of developing a well-prepared STEM workforce that is crucial to the Nation's health and economy, by laying the foundation for broad implementation of effective instructional practices and advances in education. I-Corps for Learning provides support for teams of educational innovators to accelerate and scale-up novel effective practices in a sustainable manner. Help for teams takes the form of workshops, mentoring, and participation in a cohort of like-minded educational innovators. The I-Corps-L approach attempts to utilize insights gained from bringing product discoveries to market to create an entrepreneurial approach to bringing learning innovations into situations where they can benefit society. Educational innovations in this case applies to developments that address K-12, undergraduate, graduate, and postdoctoral research, as well as learning in informal science education environments. In providing organizational and logistical support, the American Society for Engineering Education (ASEE) is collaborating with the I-Corps-L Instructional Team led by Dr. Karl Smith. This project has the potential of helping to achieve the goal of educational transformation through propagation and scale-up of educational innovations.The I-Corps for Learning model is centered around participating three-person teams. Team composition includes a principal investigator who has developed an education innovation through prior support from the National Science Foundation, an entrepreneurial lead who is committed to leading the team through the investigation, and a mentor who understands the nature of successful education-focused innovations. Training includes an introductory three-day training session, five online sessions, and a closing two-day training session. This project is designed to fill the gap between educational innovations of proven effectiveness in enhancing student learning and the widespread use of such practices. I-Corps L, is based on a process of hypothesis testing and investigation along with clarification of user needs. This approach can benefit education researchers by helping them to develop ways to broaden the impact of innovations in teaching and learning science, technology, engineering and mathematics (STEM). In tandem with its logistical and organizational services ASEE is conducting an evaluation to assess individual sessions within the face-to-face meetings, overall elements of the multi-day training workshops, and handling of meeting logistics. In addition, the participants will answer formative questions throughout the effort to ensure success in meeting workshop objectives, and properly accommodate all aspects associated with the virtual sessions.
I-Corps for Learning项目通过为广泛实施有效的教学实践和教育进步奠定基础,解决了培养一支对国家健康和经济至关重要的准备充分的STEM劳动力的问题。I-Corps for Learning为教育创新者团队提供支持,以可持续的方式加速和扩大新颖的有效实践。对团队的帮助采取研讨会、指导和参与志同道合的教育创新者的形式。I-Corps-L方法试图利用从将产品发现推向市场中获得的见解,创造一种创业方法,将学习创新带入能够造福社会的环境中。 在这种情况下,教育创新适用于解决K-12,本科,研究生和博士后研究的发展,以及在非正式科学教育环境中学习。 在提供组织和后勤支持方面,美国工程教育协会(ASEE)正在与卡尔·史密斯博士领导的I-Corps-L教学团队合作。该项目有可能通过传播和扩大教育创新来帮助实现教育改革的目标。 团队组成包括一名首席研究员,他通过美国国家科学基金会的事先支持开发了一项教育创新,一名致力于带领团队完成调查的创业领袖,以及一名了解成功的教育创新本质的导师。 培训包括为期三天的入门培训课程、五个在线课程和为期两天的闭幕培训课程。 该项目旨在填补在提高学生学习方面证明有效的教育创新与广泛使用这种做法之间的差距。I-Corps L基于假设检验和调查过程,沿着用户需求的澄清。这种方法可以使教育研究人员受益,帮助他们制定方法,扩大科学,技术,工程和数学(STEM)教学和学习创新的影响。在提供后勤和组织服务的同时,亚欧会议正在进行一项评价,以评估面对面会议中的个别会议、多日培训讲习班的总体内容以及会议后勤的处理情况。此外,参与者将在整个过程中回答形成性问题,以确保成功实现讲习班目标,并适当适应与虚拟会议有关的所有方面。

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 }}

Ashok Agrawal其他文献

Ashok Agrawal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 }}

{{ truncateString('Ashok Agrawal', 18)}}的其他基金

Innovation-for-Impact: A Value-creation Program to Improve the Impact of NSF's R&D and Commercialization Initiatives
影响力创新:旨在提高 NSF R 影响力的价值创造计划
  • 批准号:
    1655081
  • 财政年份:
    2016
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
Transforming Undergraduate Education in Engineering: Mobilizing the Community for Change
转变工程本科教育:动员社区推动变革
  • 批准号:
    1448876
  • 财政年份:
    2014
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
I-Corps for Learning (I-Corps L): A Pilot Initiative to Propagate & Scale Educational Innovations TRAINING ACTIVITIES
I-Corps for Learning (I-Corps L):一项试点宣传计划
  • 批准号:
    1355391
  • 财政年份:
    2013
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
The "Bio-Bench" Project
“生物台”项目
  • 批准号:
    0802253
  • 财政年份:
    2008
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
Pathways to Success in STEM
STEM 成功之路
  • 批准号:
    0230131
  • 财政年份:
    2003
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
Gateway to Manufacturing Excellence Project
卓越制造项目之门
  • 批准号:
    0202247
  • 财政年份:
    2002
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Continuing Grant

相似国自然基金

Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    合作创新研究团队
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
煤矿安全人机混合群智感知任务的约束动态多目标Q-learning进化分配
  • 批准号:
  • 批准年份:
    2022
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
基于领弹失效考量的智能弹药编队短时在线Q-learning协同控制机理
  • 批准号:
    62003314
  • 批准年份:
    2020
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
集成上下文张量分解的e-learning资源推荐方法研究
  • 批准号:
    61902016
  • 批准年份:
    2019
  • 资助金额:
    24.0 万元
  • 项目类别:
    青年科学基金项目
具有时序迁移能力的Spiking-Transfer learning (脉冲-迁移学习)方法研究
  • 批准号:
    61806040
  • 批准年份:
    2018
  • 资助金额:
    20.0 万元
  • 项目类别:
    青年科学基金项目
基于Deep-learning的三江源区冰川监测动态识别技术研究
  • 批准号:
    51769027
  • 批准年份:
    2017
  • 资助金额:
    38.0 万元
  • 项目类别:
    地区科学基金项目
具有时序处理能力的Spiking-Deep Learning(脉冲深度学习)方法研究
  • 批准号:
    61573081
  • 批准年份:
    2015
  • 资助金额:
    64.0 万元
  • 项目类别:
    面上项目
基于有向超图的大型个性化e-learning学习过程模型的自动生成与优化
  • 批准号:
    61572533
  • 批准年份:
    2015
  • 资助金额:
    66.0 万元
  • 项目类别:
    面上项目
E-Learning中学习者情感补偿方法的研究
  • 批准号:
    61402392
  • 批准年份:
    2014
  • 资助金额:
    26.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Understanding the Impact of Outdoor Science and Environmental Learning Experiences Through Community-Driven Outcomes
通过社区驱动的成果了解户外科学和环境学习体验的影响
  • 批准号:
    2314075
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Continuing Grant
Integrating Self-Regulated Learning Into STEM Courses: Maximizing Learning Outcomes With The Success Through Self-Regulated Learning Framework
将自我调节学习融入 STEM 课程:通过自我调节学习框架取得成功,最大化学习成果
  • 批准号:
    2337176
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
  • 批准号:
    2337776
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Continuing Grant
CAREER: Closing the Loop between Learning and Communication for Assistive Robot Arms
职业:关闭辅助机器人手臂的学习和交流之间的循环
  • 批准号:
    2337884
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
CAREER: Adaptive Deep Learning Systems Towards Edge Intelligence
职业:迈向边缘智能的自适应深度学习系统
  • 批准号:
    2338512
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Continuing Grant
CAREER: Data-Enabled Neural Multi-Step Predictive Control (DeMuSPc): a Learning-Based Predictive and Adaptive Control Approach for Complex Nonlinear Systems
职业:数据支持的神经多步预测控制(DeMuSPc):一种用于复杂非线性系统的基于学习的预测和自适应控制方法
  • 批准号:
    2338749
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
  • 批准号:
    2338846
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Continuing Grant
RII Track-4:NSF: HEAL: Heterogeneity-aware Efficient and Adaptive Learning at Clusters and Edges
RII Track-4:NSF:HEAL:集群和边缘的异质性感知高效自适应学习
  • 批准号:
    2327452
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
RII Track-4:NSF: Physics-Informed Machine Learning with Organ-on-a-Chip Data for an In-Depth Understanding of Disease Progression and Drug Delivery Dynamics
RII Track-4:NSF:利用器官芯片数据进行物理信息机器学习,深入了解疾病进展和药物输送动力学
  • 批准号:
    2327473
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
Collaborative Research: NCS-FR: Individual variability in auditory learning characterized using multi-scale and multi-modal physiology and neuromodulation
合作研究:NCS-FR:利用多尺度、多模式生理学和神经调节表征听觉学习的个体差异
  • 批准号:
    2409652
  • 财政年份:
    2024
  • 资助金额:
    $ 35.48万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了