CUE Ethics: Collaborative Research: Evaluating Frameworks for Incorporating Computing Across the Curriculum
CUE Ethics: Collaborative Research: Evaluating Frameworks for Incorporating Computing Across the Curriculum
批准号:
1935113
负责人:
Valerie Barr
金额:
$14.66万
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
项目状态:
已结题
起止时间:
2020-02-01 至 2022-07-31
中文摘要
该奖项将在住宿文理学院本科学位的背景下,测试在整个课程中提供计算的途径。该项目将被组织为一个网络改进社区(NIC),其中包括来自代表10个不同学科的三所学院的教职员工,以及所有三所机构的计算机科学和数据科学或数据分析部门的负责人。多机构NIC将为项目团队提供一个重要机会,以确定提供计算机科学(CS)内容的最有效方法,并在一系列机构治理和部门结构差异方面与非CS教师合作。这一项目旨在满足国家的愿望,使更多和更多样化的学生群体为CS和非CS领域的职业,包括科学和非科学学科的职业做好准备。首先,该项目将确定一组核心计算概念,这些概念应该由今天的每个学生学习,特别是那些在非CS领域应用计算的学生。其次,它将严格评估让学生接触核心计算概念的场所,包括课程和课程结构的相对有效性。第三,该项目将分析非CS教师在其课程中融入和教授计算概念所需的准备、指导和支持的种类和程度。第四,本研究将分析在非计算机科学课程中增加计算概念材料对学生获得学科知识的影响程度。最后,它将分析附属的非计算机专业教师在自己的教学和研究方面的影响,因为他们学习了更多关于计算的知识,并与其他非计算机专业教师合作,将计算融入课程。通过纳入人口统计学上比CS更多样化的领域,研究人员预计将扩大学习计算及其应用的学生群体。通过从一开始就将伦理考虑整合到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,作为他们计算问题解决的一部分,而不是作为事后考虑。最后,该项目将为类似机构制定一份指导性文件,说明如何以“跨课程计算”的方法,在整个机构中有效地灌输核心计算概念。这个IUSE:CUE项目是由EHR/DUE和所有CISE理事会CNS、CCF、IIS和OAC共同资助的,反映了该项目与IUSE:EHR计划在国际教育合作组织的适当和补充计划中的更广泛目标的一致性。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值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
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.
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会议论文
The efficacy of a computing-concepts video library for students and peer tutors in multidisciplinary contexts
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批准号:2337252
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项目类别:Standard Grant
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资助金额:$7.05万
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财政年份:2024
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负责人:Valerie Barr
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依托单位:
HDR DSC: Collaborative Research: The Data Science WAV: Experiential Learning with Local Community Organizations
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批准号:2242944
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项目类别:Standard Grant
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资助金额:$13.59万
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财政年份:2022
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负责人:Valerie Barr
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依托单位:
HDR DSC: Collaborative Research: The Data Science WAV: Experiential Learning with Local Community Organizations
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批准号:1923934
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项目类别:Standard Grant
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资助金额:$13.59万
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财政年份:2019
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负责人:Valerie Barr
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依托单位:
POWRE: Software Evaluation: The Application of Software Testing Techniques to Rule-Based Natural Language Processing Components
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批准号:9973855
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项目类别:Standard Grant
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资助金额:$7.48万
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财政年份:1999
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负责人:Valerie Barr
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依托单位:
海外基金