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

该项目建议组建一个网络改进社区（NIC），在不同的学术合作机构中设计、部署和评估为非计算机科学专业设计的计算机课程。它是由四个机构合作组织的：加州州立理工大学（Cal Poly）；加州大学圣巴巴拉分校；科罗拉多大学科罗拉多斯普林斯分校；和查尔斯顿学院。该项目围绕两个目标进行：(a)增加所有学生接触计算机和计算思维的机会，并为这些学生在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。该项目以合作组织的互补和独特的学术历史为基础。该项目解决了培养一支强大、多样化、精通计算机的全国劳动力的需求。NIC的目标是建立一系列模块，每个模块针对计算思维的一个特定方面或一组相关方面，并与多个领域示例紧密耦合。每个模块将包括对材料的道德观点。项目活动包括强调灵活性，以适应参与组织的背景，并通过特定领域的例子和任务达到各种主要学科，以及扩大参与和伦理问题。合作院校将把这些模块组织成最适合个别院校的课程。在美国的背景下，并考虑到诸如学期长度、当地优势和校园协同作用以及课程的典型接触时数等变化。这些组织将共同提供、测试和评估计算思维模块的顺序。除了致力于数字化合作外，NIC还包括两个面对面的研讨会，以进行密集的共享时间、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影响代表性不足的学生和整体课程效率的因素。该项目有潜力成为非计算机科学专业计算机科学教育领域网络化改进社区的典范。它的重点是需要发展一支庞大的、多样化的劳动力队伍，能够跨越广泛的学科和跨学科的问题领域来解决计算问题。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DUE的IUSE: EHR项目和CISE的补充项目的更广泛目标的一致性。该奖项反映了美国国家科学基金会的法定使命，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，被认为值得支持。

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.