CUE Ethics: Collaborative Research: An inclusive and In-Depth Computing Curriculum to help Non-majors Learn Small Patterns to Solve Big Problem

CUE 伦理:协作研究:包容性和深入的计算课程,帮助非专业人士学习小模式解决大问题

基本信息

  • 批准号:
    1935051
  • 负责人:
  • 金额:
    $ 4.99万
  • 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
  • 起止时间:
    2019-10-01 至 2022-09-30
  • 项目状态:
    已结题

项目摘要

This project proposes to form a Networked Improvement Community (NIC) to design, deploy and evaluate a computing curriculum designed for non-computer science majors across a diverse range of academic partnership institutions. It is organized as a partnership of four institutions: California Polytechnic State University (Cal Poly); University of California, Santa Barbara (UCSB); University of Colorado at Colorado Springs (UCCS); and College of Charleston. The project is structured around two goals: (a) increasing exposure to computing and computational thinking among all students, and better preparing these students for professional careers in fields requiring a certain level of computing, and (b) diversifying the population of students enrolled in computer science courses. The project reframes computer science around human-centric learning goals in fifteen modules that will be implemented across the collaborating institutions. The project is grounded in the complementary and unique academic histories of the partnering organizations. The project addresses the need to develop a strong, diverse, national computing-literate workforce. The NIC's objective is to build a series of modules, each targeting a specific aspect or a group of related aspects of computational thinking, tightly coupled with multiple domain examples. Each module will include an ethics perspective on the material. Project activities include emphasize flexibility to adapt to the context of participating organizations and to reach a variety of major disciplines through domain-specific examples and assignments, as well as broadening participation and ethical concerns. Partner institutions will organize these modules into coursework that best matches individual institution?s context, and take into consideration variations such as term length, local strengths and campus synergies, and typical number of contact hours in a course. The organizations will work jointly on offering, testing, and evaluating the sequence of computational thinking modules. In addition to a commitment to work together digitally, the NIC includes two in-person workshops for intensive shared time, testing, and evaluation. The project will evaluate the curriculum both locally and globally for factors that impact underrepresented students and overall program efficacy compared to a control group. This project has the potential to serve as a model of a networked improvement community in the area of CS education for non-CS majors. It focuses on the need to develop a large, diverse workforce able to address computing problems across a wide range of disciplinary and interdisciplinary problem domains. This IUSE: CUE project is co-funded by EHR/DUE and 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.
该项目建议成立一个网络改进社区(NIC),以设计,部署和评估为非计算机科学专业设计的计算课程,该课程跨越各种学术合作机构。它是由四个机构组成的伙伴关系:加州州立大学(Cal Poly);加州大学,圣巴巴拉(UCSB);科罗拉多大学,位于科罗拉多斯普林斯(UCCS);和查尔斯顿学院。该项目围绕两个目标展开:(a)增加所有学生接触计算和计算思维的机会,使这些学生为需要一定计算水平的领域的职业生涯做好更好的准备;(B)使参加计算机科学课程的学生人数多样化。该项目围绕以人为中心的学习目标,在15个模块中重新构建计算机科学,这些模块将在合作机构中实施。该项目的基础是合作组织的互补和独特的学术历史。该项目解决了培养一支强大、多样化、懂计算的国家劳动力队伍的需要。NIC的目标是构建一系列模块,每个模块针对计算思维的一个特定方面或一组相关方面,与多个领域示例紧密耦合。每个单元都将包括关于材料的道德操守观点。项目活动包括强调灵活性,以适应参加组织的情况,通过具体领域的例子和任务,以及扩大参与和道德关切,触及各种主要学科。伙伴机构将把这些模块组织成最适合个别机构的课程?的背景下,并考虑到变化,如任期长度,当地的优势和校园的协同作用,以及在一个过程中的典型接触小时数。这些组织将共同努力提供,测试和评估计算思维模块的序列。除了致力于数字化合作外,NIC还包括两个面对面的研讨会,用于密集的共享时间、测试和评估。该项目将评估本地和全球的课程,与对照组相比,影响代表性不足的学生和整体计划效率的因素。该项目有可能作为一个网络化的改进社区在CS教育领域的非CS专业的模式。它重点关注培养一支能够解决广泛学科和跨学科问题领域的计算问题的庞大、多元化劳动力队伍的需求。这个IUSE:CUE项目由EHR/DUE和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,并被认为值得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来支持。

项目成果

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Jugal Kalita其他文献

Explainable AI: XAI-guided context-aware data augmentation
可解释人工智能:XAI 引导的上下文感知数据增强
  • DOI:
    10.1016/j.eswa.2025.128364
  • 发表时间:
    2025-09-15
  • 期刊:
  • 影响因子:
    7.500
  • 作者:
    Melkamu Abay Mersha;Mesay Gemeda Yigezu;Atnafu Lambebo Tonja;Hassan Shakil;Samer Iskander;Olga Kolesnikova;Jugal Kalita
  • 通讯作者:
    Jugal Kalita
A survey of malware detection using deep learning
  • DOI:
    10.1016/j.mlwa.2024.100546
  • 发表时间:
    2024-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Ahmed Bensaoud;Jugal Kalita;Mahmoud Bensaoud
  • 通讯作者:
    Mahmoud Bensaoud
Evaluating the effectiveness of XAI techniques for encoder-based language models
评估用于基于编码器的语言模型的可解释人工智能(XAI)技术的有效性
  • DOI:
    10.1016/j.knosys.2025.113042
  • 发表时间:
    2025-02-15
  • 期刊:
  • 影响因子:
    7.600
  • 作者:
    Melkamu Abay Mersha;Mesay Gemeda Yigezu;Jugal Kalita
  • 通讯作者:
    Jugal Kalita
Analyzing hope speech from psycholinguistic and emotional perspectives
  • DOI:
    10.1038/s41598-024-74630-y
  • 发表时间:
    2024-10-09
  • 期刊:
  • 影响因子:
    3.900
  • 作者:
    Muhammad Arif;Moein Shahiki Tash;Ainaz Jamshidi;Fida Ullah;Iqra Ameer;Jugal Kalita;Alexander Gelbukh;Fazlourrahman Balouchzahi
  • 通讯作者:
    Fazlourrahman Balouchzahi
Neural network translations for building SentiWordNets
  • DOI:
    10.1007/s10844-024-00911-7
  • 发表时间:
    2025-01-24
  • 期刊:
  • 影响因子:
    3.400
  • 作者:
    Khang Nhut Lam;Trung Phuong Le;Khanh Cong Ngu;Kien Trung Le;Phuc Minh Le;Huy Hoang-Dang Nguyen;Jugal Kalita
  • 通讯作者:
    Jugal Kalita

Jugal Kalita的其他文献

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{{ truncateString('Jugal Kalita', 18)}}的其他基金

REU Site: Recent Advances in Natural Language Processing
REU 网站:自然语言处理的最新进展
  • 批准号:
    2349452
  • 财政年份:
    2024
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
Collaborative Research:FW-HTF-P: The Future of Virtual Teams: Enhancing Collaborative Creativity and Socio-cognitive wellbeing in Video-based Teams
协作研究:FW-HTF-P:虚拟团队的未来:增强基于视频的团队的协作创造力和社会认知福祉
  • 批准号:
    2222795
  • 财政年份:
    2023
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
REU Site: Deep Learning: Theory, Concepts and Applications
REU 网站:深度学习:理论、概念和应用
  • 批准号:
    2050919
  • 财政年份:
    2021
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
REU Site: Machine Learning in Natural Language Processing and Computer Vision
REU 网站:自然语言处理和计算机视觉中的机器学习
  • 批准号:
    1659788
  • 财政年份:
    2017
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
REU Site: Machine Learning, Theory and Applications
REU 网站:机器学习、理论与应用
  • 批准号:
    1359275
  • 财政年份:
    2014
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Continuing Grant
II-NEW: Acquiring infrastructure for Artificial Intelligence, Natural Language Processing and Information Retrieval
II-新:获取人工智能、自然语言处理和信息检索的基础设施
  • 批准号:
    0958576
  • 财政年份:
    2010
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
REU Site for Artificial Intelligence, Natural Language Processing and Information Retrieval
REU 人工智能、自然语言处理和信息检索网站
  • 批准号:
    0851783
  • 财政年份:
    2009
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
NSF Engineering Scholarships
NSF 工程奖学金
  • 批准号:
    0631129
  • 财政年份:
    2006
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
CSEM Scholarships at the University of Colorado at Colorado Springs
科罗拉多大学科罗拉多斯普林斯分校 CSEM 奖学金
  • 批准号:
    0422524
  • 财政年份:
    2004
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
Semantics of Action Verbs for Animtion Control of Task Performance
用于任务执行动画控制的动作动词语义
  • 批准号:
    9209365
  • 财政年份:
    1992
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant

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