CUE Ethics: Collaborative Research: Evaluating Frameworks for Incorporating Computing Across the Curriculum

CUE 伦理:协作研究:评估将计算纳入整个课程的框架

基本信息

  • 批准号:
    1935061
  • 负责人:
  • 金额:
    $ 7.63万
  • 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:
    2020-02-01 至 2022-07-31
  • 项目状态:
    已结题

项目摘要

This award will test pathways for the delivery of computing across the curriculum in the context of undergraduate degrees at residential liberal arts colleges. The project will be organized as a Networked Improvement Community (NIC) that includes faculty from three colleges representing 10 distinct disciplines, as well as the heads of computer science and data science or data analytics at all three institutions. The multi-institutional NIC will provide an important opportunity for the project team to determine the most effective methods for delivering computer science (CS) content and working with non-CS faculty across a range of institutional governance and departmental structural differences. This project addresses the national desire to prepare larger and more diverse student populations for careers in both CS and non-CS fields, including careers in scientific and non-scientific disciplines.Project activities are five-fold. First, the project will identify a set of core computing concepts that should be learned by every student today, particularly those students who are applying computing in non-CS fields. Second, it will rigorously evaluate the relative effectiveness of venues, including curriculum and course structure, for exposing students to the core computing concepts. Third, the project will analyze the kind and extent of preparation, guidance, and support necessary for non-CS faculty to incorporate and teach computing concepts in their courses. Fourth, it will analyze the extent to which the addition of computing concept material impacts student acquisition of disciplinary knowledge in non-CS courses. Lastly, it will analyze the impact on affiliated non-CS faculty with regard to their own teaching and research as they learn more about computing, and work collaboratively with other non-CS faculty on integration of computing into courses. By including fields that are more demographically diverse than CS, the researchers expect to broaden the pool of students who learn about computing and its applications. By integrating ethical considerations into the teaching of core computing concepts from the start, it is expected that students will learn to naturally ask ethical questions as part of their computational problem solving instead of as an afterthought. Finally, the project will develop a guiding document for similar institutions on how to effectively infuse core computing concepts across an institution in a "computing across the curriculum" approach. This IUSE: CUE project is co-funded by the EHR/DUE and all CISE Directorates CNS, CCF, IIS, and OAC, reflecting the project's alignment with the broader goals of the IUSE: EHR program in DUE and complementary programs in CISE.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.
该奖项将测试在住宿文科学院本科学位的背景下,在整个课程中提供计算的途径。该项目将作为一个网络改进社区(NIC)组织,其中包括来自三所大学的教师,代表10个不同的学科,以及所有三个机构的计算机科学和数据科学或数据分析的负责人。多机构NIC将为项目团队提供一个重要的机会,以确定提供计算机科学(CS)内容的最有效方法,并与非CS教师合作,跨越一系列机构治理和部门结构差异。该项目满足了国家的愿望,即为CS和非CS领域的职业生涯做好准备,包括科学和非科学学科的职业生涯。首先,该项目将确定一组核心计算概念,今天每个学生都应该学习,特别是那些在非计算机领域应用计算的学生。其次,它将严格评估场地的相对有效性,包括课程和课程结构,以使学生接触核心计算概念。第三,该项目将分析的种类和程度的准备,指导,并支持非CS教师在他们的课程中纳入和教计算概念。第四,它将分析在何种程度上增加计算概念材料影响学生在非CS课程的学科知识的获取。最后,它将分析附属非CS教师对自己的教学和研究方面的影响,因为他们了解更多关于计算,并与其他非CS教师合作,将计算整合到课程中。通过包括比计算机科学在人口统计学上更加多样化的领域,研究人员希望扩大学习计算机及其应用的学生群体。通过从一开始就将伦理考虑纳入核心计算概念的教学中,预计学生将学会自然地提出伦理问题,作为他们解决计算问题的一部分,而不是事后的想法。最后,该项目将为类似的机构编写一份指导文件,说明如何以“整个课程的计算”方法在整个机构有效地注入核心计算概念。这个IUSE:CUE项目由EHR/DUE和所有CISE理事会CNS,CCF,IIS和OAC共同资助,反映了该项目与IUSE更广泛目标的一致性:DUE中的EHR计划和CISE中的补充计划。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而被认为值得支持。

项目成果

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Kristina Striegnitz其他文献

Report on the First NLG Challenge on Generating Instructions in Virtual Environments (GIVE)
关于在虚拟环境中生成指令的首届 NLG 挑战赛 (GIVE) 的报告
  • DOI:
    10.3115/1610195.1610223
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    D. Byron;Alexander Koller;Kristina Striegnitz;Justine Cassell;R. Dale;Johanna D. Moore;J. Oberlander
  • 通讯作者:
    J. Oberlander
Generating Instructions in Virtual Environments (GIVE):A Challenge and an Evaluation Testbed for NLG
在虚拟环境中生成指令(GIVE):NLG 的挑战和评估测试台
  • DOI:
    10.7916/d8mc97b6
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    D. Byron;Alexander Koller;J. Oberlander;Laura Stoia;Kristina Striegnitz
  • 通讯作者:
    Kristina Striegnitz
Different Modes of Semantic Representation in Image Retrieval
图像检索中语义表示的不同模式
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    R. Bennett;Kristina Striegnitz
  • 通讯作者:
    Kristina Striegnitz
What It Is To Be Conscious : Exploring the Plausibility of Consciousness in Deep Learning Computers ( Peter )
什么是意识:探索深度学习计算机中意识的合理性(Peter)
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zachary J. Davis;Kristina Striegnitz;D. Barnett
  • 通讯作者:
    D. Barnett
Generation as Dependency Parsing
生成作为依存分析
  • DOI:
    10.3115/1073083.1073088
  • 发表时间:
    2002
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Alexander Koller;Kristina Striegnitz
  • 通讯作者:
    Kristina Striegnitz

Kristina Striegnitz的其他文献

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{{ truncateString('Kristina Striegnitz', 18)}}的其他基金

The efficacy of a computing-concepts video library for students and peer tutors in multidisciplinary contexts
计算概念视频库在多学科背景下对学生和同伴导师的功效
  • 批准号:
    2337251
  • 财政年份:
    2024
  • 资助金额:
    $ 7.63万
  • 项目类别:
    Standard Grant
III: Small: RUI: Collaborative Research: ANTE - A Four-Tier Framework to Boost Visual Literacy for High Dimensional Data
III:小型:RUI:协作研究:ANTE - 提高高维数据视觉素养的四层框架
  • 批准号:
    1527112
  • 财政年份:
    2015
  • 资助金额:
    $ 7.63万
  • 项目类别:
    Standard Grant

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