SCALE-CA Supporting Computing Access, Leadership, and Equity in California

加州大学洛杉矶分校（UCLA）提出了一个名为“支持加州计算机接入、领导力和公平”（scale -CS）的项目，该项目将创建一个网络改进社区（NIC），以扩大教师的专业发展，建立教育领导者在当地实施的能力，并为在全州范围内扩大具有公平意识的计算机科学（CS）教学机会的研究基地做出贡献。加州是世界第六大经济体，也是一个“少数族裔占多数”的州，其600万公立学校学生中有60%以上是有色人种学生。该州的规模和多样性需要一个系统的方法来增加低收入学生、拉丁裔、非洲裔美国人和印第安人学生、英语学习者和有特殊需要的学生的CS机会。该项目的重点是建设领导能力，以确保将公平作为计算机科学教育扩展工作的核心，这些工作涉及可扩展和可持续的干预措施。SCALE-CA将采用三管齐下的策略，包括在课堂、地区和州层面进行连锁干预。NIC将收集数据，支持以下资源和活动的持续改进：1)为教师、辅导员和管理人员提供一个原型CSPDWeek，包括公平的课程和PD，来自探索计算机科学、计算机科学原理和辅导员4计算，可以在区域一级复制和定制。2)设计和开发一个全州范围的地区实施工具包和附带的研讨会，供管理人员考虑整个地区CS教育实施的公平影响。这将包括共同设计计算机科学教育实施的公平指标。3)从该领域收集证据，这些证据可用于告知政策制定者全州范围内的扩张，以应对可扩展性，公平性和长期可持续性的挑战。NIC的创始合作伙伴包括5个地方教育机构（LEAs），代表了加州多样化学校系统的人口、地理和规模——萨克拉门托、旧金山、洛杉矶、河滨和康普顿——以及加州学生和学校计算机教育联盟（ACCESS，它是CSforCA的骨干组织）、加州大学洛杉矶分校的研究人员和美国研究所（AIR）。NIC将扩大到另外5个相对较新的CS教育地区，这些地区将受到创始5个地区的指导，可能会覆盖65万名高中生。LEAs将在四年的时间里与SCALE-CA合作，学习和分享数据驱动的实践，同时共同应对扩大计算机参与的挑战，如教师准备和支持、资格认证、发展大学和职业道路以及资金。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。

The University of California, Los Angeles (UCLA) proposes a project, called Supporting Computing Access, Leadership, and Equity in California (SCALE-CS), that will create a Networked Improvement Community (NIC) to scale teacher professional development, build the capacity of education leaders for local implementation, and contribute to the research base on expanding equity-minded computer science (CS) teaching and learning opportunities across the state. California is the sixth largest economy in the world and a "majority minority" state with over 60% of its six million public school students identifying as students of color. The state's size and diversity require a systemic approach to increasing CS opportunities for low-income students, LatinX, African American and Native American students, English language learners, and students with special needs. The focus of this project is to build leadership capacity to ensure that equity is kept at the core of CS education expansion efforts and those efforts involve interventions that are scalable and sustainable. SCALE-CA will use a three-pronged strategy that includes interlocking interventions at the classroom, district and state levels. The NIC will collect data that supports continuous improvement of the following resources and activities: 1) Offer a prototype CSPDWeek for teachers, counselors, and administrators including equity-minded curricula and PD from Exploring Computer Science, Computer Science Principles, and Counselors4Computing that can be replicated and customized at the regional level.2) Design and develop a state-wide district implementation toolkit and accompanying workshop for administrators to consider the equity implications of district-wide CS education implementation. This will include the co-design of equity indicators for implementation of CS education.3) Collect evidence from the field that can be used to inform policy makers regarding statewide expansion that responds to the challenges of scalability, equity and long-term sustainability.The NIC founding partners include 5 local education agencies (LEAs) representing the demographics, geography and size of California's diverse school system -- Sacramento, San Francisco, Los Angeles, Riverside, and Compton -- along with the Alliance for California Computing Education for Students and Schools (ACCESS, which serves as the backbone organization for CSforCA), UCLA researchers and American Institutes for Research (AIR). The NIC will expand to include 5 additional districts relatively new to CS education who will be mentored by the founding 5 districts, potentially reaching a total of 650,000 high school students. The LEAs will engage with SCALE-CA over a four year period learning and sharing data-driven practices while collaboratively addressing challenges of broadening participation in computing such as teacher preparation and support, credentialing, developing college and career pathways, and funding.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.