Computing for the Social Good: A Research-Practice Partnership to Increase Equity among Students and Parents

圣克鲁斯市学校、圣克鲁斯教育基金会和教育、培训、研究（ETR）之间的合作，以及来自斯坦福大学和加州大学的其他研究人员，建立在以前的国家科学基金会研究实践伙伴关系（RPP）奖的基础上，以建立能力，设计和测试计算机科学（CS）教育和计算思维的途径。我们的RPP已经确定了与国家全民计算机科学相关的三个实践问题，并且是地区管理者认为可以通过创建计算机科学途径来解决的问题：1)不同人口群体的学术素养不平等（白人和拉丁裔学生之间的最大差距），2)基于种族和阶级的日益隔离的学校，以及3)家庭接触和参与数字社会的不平等。本项目将解决以下问题：1)激励，准备和支持教师将以公平为导向的计算机科学融入核心课程，并支持英语语言发展；2)开发K-8途径，通过培养学生和家庭成为使用计算机科学为社会造福的公民；3)通过计算机素养和领导活动建立家庭参与和能力；4)发展我们的基于设计的实施RPP，包括地区行政人员，校长，教师，学校工作人员、研究人员和教育基金会董事会成员。该项目将产生活动和研究知识，可用于增加想要学习更多计算机科学并有能力和兴趣将计算机科学用于社会公益的女孩和拉丁裔学生的数量。它也将是第一个生成和测试将数据科学整合到K-8中的单元之一，并将为K-8教师准备一个系统，将以公平为导向的计算机科学教育融入他们的课程。最后，它将确定学校可以用来吸引家庭的策略，提高家长成为孩子学校领导者的信心和能力，并利用计算机来推进他们自己的教育和职业发展。这个项目将有助于我们了解：1)如何准备和支持K-8教师将以公平为导向的计算机科学融入他们的课程，包括教师难以理解和整合的概念，以及社会正义角度是否激励他们，2)哪些计算机科学和计算思维概念可用于支持K-8的学术素养和语言发展，3)社会公益计算机科学如何被用作身份探索和培养青年和家长领导的工具，4)哪些策略将有效地吸引拉丁裔和低收入家庭参与他们的学校和CS， 5)如何建立RPP，以及6)RPP的过程和结果- RPP何时以及在什么条件下可以为全民CS做出贡献，包括研究人员和从业者所需的技能，策略，角色和身份。该项目将采用混合方法和设计-研究策略，重点设计数据科学课程，支持学生通过影响社区社会公益的问题进行学习。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。

A collaboration between Santa Cruz City Schools, the Santa Cruz Education Foundation, and Education, Training, Research (ETR), with additional researchers from Stanford University and the University of California builds on a previous NSF award for a research-practice partnership (RPP) to build capacity, and design and test a pathway for computer science (CS) education and computational thinking in 3rd-8th grade. Our RPP has identified three problems of practice that have relevance to national CS for All efforts, and are issues that district administrators believe can be addressed by the creation of a CS pathway: 1) inequity in academic literacy across demographic groups (the largest gaps between white and Latinx students), 2) increasingly segregated schools based on race and class, and 3) inequity in family access to and engagement with our digital society. This project will address these issues: 1) Motivate, prepare and support teachers to integrate equity-oriented computer science into core curriculum with supports for English language development, 2) Develop a K-8 pathway that attracts students and families by preparing them to be citizens who use CS for the social good, 3) Build family engagement and competence through computer literacy and leadership activities, and 4) Grow our Design-Based Implementation RPP that involves district administrators, principals, teachers, school staff, researchers, and education foundation board members. The project will generate activities and research knowledge that can be used to increase the number of girls and Latinx students who want to learn more computer science and have the capacity and interest to use CS for the social good. It will also be one of the first to generate and test units that integrate data science into K-8 and will produce a system for preparing K-8 teachers to infuse equity-oriented computer science education into their curriculum. Finally, it will identify strategies that schools can use to engage families and increase parents' confidence and competence to become leaders at their children's school and use computing to advance their own education and career.This project will contribute to our understanding of: 1) How to prepare and support K-8 teachers to infuse equity-oriented CS into their curriculum including which concepts are difficult for teachers to understand and integrate, and whether a social justice angle is motivating to them, 2) Which CS and computational thinking concepts can be used to support academic literacy and language development in K-8, 3) How CS for the social good can be used as a tool for identity exploration and to foster youth and parent leadership, 4) Which strategies will effectively engage Latinx and low income families in their school and CS, 5) How to build an RPP, and 6) The process and outcomes of RPPs--when and under what conditions RPPs can contribute to CS for All, including the skills, strategies, roles and identities that are needed for both the researchers and the practitioners. Using mixed-methods and a design-research strategy, the project will focus on designing data science curriculum that support students' learning through problems that impact social good in their neighborhoods.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.