Research Infrastructure for the Development, Implementation, and Assessment of Mathematics Interventions at Scale: An Incubator Project

大规模数学干预措施的开发、实施和评估的研究基础设施:孵化器项目

基本信息

  • 批准号:
    2243797
  • 负责人:
  • 金额:
    $ 49.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-05-01 至 2025-04-30
  • 项目状态:
    未结题

项目摘要

Mathematics is foundational to many topics in STEM and is often seen as a gatekeeper to advanced STEM pursuits. In order to increase the U.S.’s global competitiveness in STEM, it is crucial to support mathematics learning. Although there are promising innovations from researchers around mathematics learning, it is challenging for researchers, especially those who are junior or from less privileged institutions, to test and refine their innovations and make effective innovations broadly accessible to educators and students. Infrastructure is needed to connect researchers and educators through low-cost, low-barrier tools. The activities of this Mid-scale Research Infrastructure Incubator project include designing and planning a “plug and play” research infrastructure that allows greater numbers of researchers to develop, test, scale, and share innovations with potential to support mathematics learning. The infrastructure’s capabilities will be transformative for the field of mathematics education research, as more and more diverse researchers will be able to conduct studies in ways that were not previously possible without substantial overhead. The Incubator will support planning meetings among the technology-focused non-profit Gooru, researchers from the learning sciences, mathematics education, computer science, psychological science, and a panel of administrator, educator, and teacher representatives as a steering committee. This team will develop draft protocols for protecting student privacy, vetting researcher applications, vetting study designs and materials, recruiting researchers and school participants, and structuring both the technical and human resources side of the research infrastructure. The materials developed in this project will be shared with broader cohorts of researchers, educators, education leaders, and graduate students for feedback. These protocols will be used in submitting a Mid-Scale Research Infrastructure grant to NSF that would fully develop tools and dashboards to provide researchers with the opportunity to configure their innovations to operate in Gooru Navigator, identify and obtain consent for the use of anonymized data from Navigator users to efficiently validate their research, and request that their validated innovations be integrated into Gooru Navigator’s open platform. The materials created as part of this incubator will contribute to researchers' understanding of topics, such as data management, privacy, and research-practice partnerships, allowing others to build upon this work in further advancement of mathematics education. The ultimate goal is that the fully developed and tested innovations from the participating researchers be applied by teachers to improve mathematics instruction and learning.This project is supported through a partnership with the Bill & Melinda Gates Foundation, Schmidt Futures, and the Walton Family Foundation. The award co-funded in part by the Discovery Research preK-12 program (DRK-12) which seeks to significantly enhance the learning and teaching of science, technology, engineering and mathematics (STEM) by preK-12 students and teachers, through research and development of innovative resources, models and tools. Projects in the DRK-12 program build on fundamental research in STEM education and prior research and development efforts that provide theoretical and empirical justification for proposed projects.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.
数学是STEM中许多主题的基础,通常被视为高级STEM追求的守门人。为了增加美国的“。在STEM领域的全球竞争力,支持数学学习至关重要。尽管数学学习领域的研究者们已经做出了一些有前途的创新,但对于研究者们来说,尤其是那些初级或来自弱势机构的研究者们来说,测试和完善他们的创新,并使教育工作者和学生能够广泛地获得有效的创新,仍然是一个挑战。需要基础设施,通过低成本、低障碍的工具将研究人员和教育工作者联系起来。这个中型研究基础设施孵化器项目的活动包括设计和规划一个“即插即用”的研究基础设施,使更多的研究人员能够开发,测试,扩展和分享具有支持数学学习潜力的创新。基础设施的能力将是数学教育研究领域的变革,因为越来越多的不同研究人员将能够以以前不可能的方式进行研究,而无需大量的开销。孵化器将支持以技术为重点的非营利组织Gooru,来自学习科学,数学教育,计算机科学,心理科学的研究人员以及作为指导委员会的管理员,教育家和教师代表小组之间的规划会议。该团队将制定保护学生隐私的协议草案,审查研究人员申请,审查研究设计和材料,招募研究人员和学校参与者,并构建研究基础设施的技术和人力资源方面。本项目中开发的材料将与更广泛的研究人员、教育工作者、教育领导者和研究生群体分享,以获得反馈。这些协议将用于向NSF提交中型研究基础设施拨款,该拨款将全面开发工具和仪表板,为研究人员提供配置其创新以在Gooru Navigator中运行的机会,识别并获得Navigator用户的匿名数据的使用许可,以有效验证其研究,并请求将其验证的创新集成到Gooru Navigator的开放平台中。作为该孵化器的一部分创建的材料将有助于研究人员对数据管理、隐私和研究实践伙伴关系等主题的理解,使其他人能够在这项工作的基础上进一步推进数学教育。最终的目标是,充分开发和测试的创新,从参与研究人员被应用于教师,以改善数学教学和学习。这个项目是通过与比尔梅林达盖茨基金会,施密特期货,和沃尔顿家庭基金会的合作伙伴关系的支持。该奖项部分由发现研究preK-12计划(DRK-12)共同资助,该计划旨在通过研究和开发创新资源,模型和工具,显着提高preK-12学生和教师的科学,技术,工程和数学(STEM)的学习和教学。DRK-12项目中的项目建立在STEM教育的基础研究以及为拟议项目提供理论和经验依据的先前研究和开发工作的基础上。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Prasad Ram其他文献

Navigated learning: An approach for differentiated classroom instruction built on learning science and data science foundations
导航学习:一种基于学习科学和数据科学基础的差异化课堂教学方法
Computing Exposition Coherence Across Learning Resources
跨学习资源的计算阐述一致性
  • DOI:
    10.1007/978-3-030-02671-4_26
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Chaitali Diwan;S. Srinivasa;Prasad Ram
  • 通讯作者:
    Prasad Ram
The Construction of Huffman Codes is a Submodular ("Convex") Optimization Problem Over a Lattice of Binary Trees
霍夫曼码的构造是二叉树格上的子模(“凸”)优化问题
  • DOI:
    10.1137/s0097539796311077
  • 发表时间:
    1999
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. S. Parker;Prasad Ram
  • 通讯作者:
    Prasad Ram
Automatic Generation of Coherent Learning Pathways for Open Educational Resources
自动生成开放教育资源的连贯学习路径

Prasad Ram的其他文献

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{{ truncateString('Prasad Ram', 18)}}的其他基金

Collaborative Research: Personalizing Recommendations in a Large-scale Education Analytics Pipeline
协作研究:大规模教育分析管道中的个性化建议
  • 批准号:
    1446138
  • 财政年份:
    2015
  • 资助金额:
    $ 49.99万
  • 项目类别:
    Standard Grant

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