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Exploring Computation Integrated into Technology and Engineering (ExCITE)

Exploring Computation Integrated into Technology and Engineering (ExCITE)
探索计算集成到技术和工程中 (ExCITE)
批准号:
1923552
负责人:
Anthony Gordon
金额:
$100.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2023-09-30

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中文摘要
翻译
国际技术和工程教育者协会(ITEEA)提出了一个项目--探索集成到技术和工程中的计算(Excite)--以培养高中技术和工程(T&E)教师在课堂上教授计算机科学(CS)和计算思维(CT)。该项目将利用美国国家科学基金会资助的美丽与喜悦计算(BJC)课程,这是一门高级选修CS原理课程,通过实际操作的问题解决挑战来增强该课程,以增加学生的参与度,并更好地适应T&E和许多科学、技术、工程和数学教师采用的基于设计的教学方法。它将设计和实施一项专业发展(PD)计划,以准备和支持T&A;E教师教授这门增强课程。该课程名为BJC-T&E,将作为ITEEA的旗舰设计工程(EBD)国家课程的一部分提供,这将极大地扩大大量学生(及其教师)对CS和CT的参与,并将BJC-T&E的学习机会扩大到全国各地的不同人群。ExCITE将聘请研究实践者伙伴关系(RPP),其中包括来自北卡罗来纳州立大学和波士顿学院的CS教师、来自霍夫斯特拉大学STEM研究中心的研究人员和T&E课程专家,以及马里兰州和弗吉尼亚州的州立教育部门和当地学区。区域合作伙伴关系框架确保所有利益攸关方充分参与发展与发展以及研究和评估方案的制定和实施。通过全方位的PD研讨会和后续支持,Excite将培训190名来自地理、社会经济、种族和民族不同地区的T&E教育人员,以便将CS和CT有效地整合到高中T&E课程中。Excite的RPP将使用基于设计的实施研究模式,初步调查两个研究问题:(RQ1)如何设计和优化PD计划,以支持高中教师学习和有效教授BJC-T&A;E?和(RQ2)在多大程度上和在什么条件下,将CS技能整合到使用基于设计的真实世界问题的T&A;E中,扩大了地区、教师和学生的参与,特别是那些通常不采用、教授或注册CS课程的人?该项目还将包括一项评估,该评估将记录和评估RPP的组织和功能、PD实施、PD模型的修订、课堂测试以及结果和研究结果的传播。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The International Technology and Engineering Educators Association (ITEEA) proposes a project--Exploring Computation Integrated into Technology and Engineering (ExCITE)--to prepare high school technology and engineering (T&E) teachers to teach computer science (CS) and computational thinking (CT) in their classrooms. The project will leverage the NSF-funded Beauty and Joy of Computing (BJC), an Advanced Placement CS Principles course, enhancing it with real-world, hands-on problem-solving challenges to increase student engagement and better suit the design-based pedagogy employed by T&E and many Science, Technology, Engineering and Math (STEM) teachers. It will design and implement a professional development (PD) program that prepares and supports T&E teachers in teaching this enhanced course. The course, BJC-T&E, will be offered as part of the ITEEA's flagship Engineering by Design (EbD) national curriculum, which will significantly broaden participation in CS and CT for a large cohort of students (and their teachers) and expand access to BJC-T&E to diverse populations nationwide.ExCITE will employ a Research Practitioner Partnership (RPP) that includes CS faculty from North Carolina State University and Boston College, researchers and T&E curriculum experts from Hofstra University's Center for STEM Research, and state education departments and local school districts in Maryland and Virginia. The RPP framework ensures that all stakeholders have been fully engaged in the development and implementation of the PD and research and evaluation program. Through a full spectrum of PD workshops with follow-on support, ExCITE will prepare 190 T&E educators from geographically, socioeconomically, racially, and ethnically diverse regions to effectively integrate CS and CT into high school T&E curricula. ExCITE's RPP will use a Design-Based Implementation Research model, initially investigating two research questions: (RQ1) How can a PD program be designed and optimized to support high school T&E teachers in learning and effectively teaching BJC-T&E? and (RQ2) To what extent and under what conditions does the integration of CS skills into T&E using design-based real-world problems broaden participation of districts, teachers, and students, particularly those who do not normally adopt, teach or enroll in CS courses? The project will also include an evaluation that will document and assess the organization and functioning of the RPP, the PD implementation, revisions to the PD model, classroom testing, and dissemination of outcomes and research results.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.
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Exploring Computation Integrated into Technology and Engineering II
  • 批准号:
    2318343
  • 项目类别:
    Standard Grant
  • 资助金额:
    $200.0万
  • 财政年份:
    2023
  • 负责人:
    Anthony Gordon
  • 依托单位:
国内基金
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  • 项目类别:
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  • 资助金额:
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  • 负责人:
    李嘉琛
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基于g-computation控制纵向数据未测混杂因素的因果推断模型构建及应用研究
  • 批准号:
    81903416
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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