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
- 来源:
- 关键词:
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.
该项目建议组建一个网络改进社区(NIC),以设计,部署和评估专为各种学术合作伙伴机构的非计算机科学专业专业设计的计算课程。它是由四个机构的合作伙伴组织的:加利福尼亚理工大学(CAL POLY);加利福尼亚大学圣塔芭芭拉(UCSB);科罗拉多斯普林斯大学(UCCS);和查尔斯顿学院。该项目围绕两个目标结构:(a)在所有学生中增加对计算和计算思维的接触,并更好地为这些学生做好准备的职业职业,从而在需要一定程度的计算水平的领域,以及(b)多样化在计算机科学课程中注册的学生人群。该项目围绕着十五个模块中的以人为中心的学习目标重新构建计算机科学,这些模块将在整个协作机构中实施。该项目基于合作组织的互补和独特的学术历史。该项目解决了建立强大,多样,国家计算识别劳动力队伍的必要性。 NIC的目标是构建一系列模块,每个模块针对特定方面或计算思维的一组相关方面,并与多个域示例紧密结合。每个模块将对材料的伦理视角包含。项目活动包括强调适应参与组织的环境的灵活性,并通过特定领域的例子和作业以及扩大参与和道德问题来实现各种主要学科。合作伙伴机构将将这些模块组织成最适合个人机构环境的课程,并考虑到诸如期限长度,本地优势和校园协同作用以及课程中典型的接触时间。这些组织将共同致力于提供,测试和评估计算思维模块的顺序。除了承诺以数字方式合作外,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。与对照组相比,该项目将在本地和全球范围内评估本地和全球课程的整体疗效。该项目有可能在非CS专业的CS教育领域充当网络改进社区的模型。它着重于发展大型,多样化的劳动力,能够解决各种纪律和跨学科问题领域的计算问题。这个IUSE:CUE项目由EHR/Due and Cise Ceraties CNS,CCF,IIS和OAC共同资助,反映了该项目与CISE的IUSE:EHR计划的更广泛目标的一致性。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Jugal Kalita其他文献
MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification
MaskPure:通过随机净化提高对文本对手的防御
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Harrison Gietz;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
Jugal Kalita的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ 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
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
相似国自然基金
智能创作时代人工智能生成文本交互式判别与伦理失范纠偏模型研究
- 批准号:72374161
- 批准年份:2023
- 资助金额:41 万元
- 项目类别:面上项目
用户视角下AIGC应用中的AI伦理研究:测量模型、影响机制与应对策略
- 批准号:72371112
- 批准年份:2023
- 资助金额:40 万元
- 项目类别:面上项目
隐私数据治理和算法决策伦理视角下消费者对无人驾驶汽车的偏好研究
- 批准号:72202211
- 批准年份:2022
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
全球视野下我国科研伦理主要议题与战略应对
- 批准号:L2224015
- 批准年份:2022
- 资助金额:40.00 万元
- 项目类别:专项项目
数据驱动的网络突发事件快速处置模型与伦理决策方法
- 批准号:72204028
- 批准年份:2022
- 资助金额:30.00 万元
- 项目类别:青年科学基金项目
相似海外基金
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
- 批准号:
1935061 - 财政年份:2020
- 资助金额:
$ 4.99万 - 项目类别:
Standard Grant
CUE Ethics: Collaborative Research: Open Collaborative Experiential Learning (OCEL.AI): Bridging Digital Divides in Undergraduate Education of Data Science
CUE 伦理:协作研究:开放式协作体验式学习 (OCEL.AI):弥合数据科学本科教育中的数字鸿沟
- 批准号:
1935076 - 财政年份:2020
- 资助金额:
$ 4.99万 - 项目类别:
Standard Grant
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
- 批准号:
1935099 - 财政年份:2020
- 资助金额:
$ 4.99万 - 项目类别:
Standard Grant
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
- 批准号:
1935113 - 财政年份:2020
- 资助金额:
$ 4.99万 - 项目类别:
Standard Grant
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
- 批准号:
1935108 - 财政年份:2019
- 资助金额:
$ 4.99万 - 项目类别:
Standard Grant