Building Multi-level Alignment in Local Computer Science for All Implementations for Sustainability

美国的计算机科学（CS）教育在教育变革中是一个快速发展的过程。随着社区和学区响应将计算机科学纳入K-12教育环境的日益增长的愿望，为城市和州的所有学生提供优质计算机科学教育的地方倡议正在兴起。成功的倡议通常得到非营利组织或地区领导的支持，这些组织或地区领导了解CS的内容和教育。多管齐下的方法使全民计算机科学运动在扩大K-12学习者获得计算机教育的目标方面取得了迅速进展。然而，这种快速的扩张也带来了巨大的困难，因为学校和教师的选择已经超过了学区所需的支持，没有计算机科学教育专家，精心选择计算机科学教育合作伙伴，以促进教师的专业发展和课程实施。选择CS教育合作伙伴需要了解如何协调愿景，实施和课程决策。因此，该项目将创建一个研究-实践伙伴关系（RPP），以支持K-8学校制定协调的愿景和多年级实施计划，促进他们发展可持续的计算机科学项目，扩大参与范围。通过研究和实施，该项目将有助于了解K-8级计算机科学教育的实施选择。这些实施选择是在全国范围内实施可持续的全民社区计划的关键。该项目将有助于理解这一决策过程，在这一过程中为学校和地区提供支持，并为学校和地区评估其持续实施与社区愿景的一致性提供措施。这些结果将为如何促进与计算机科学教育相关的系统性教育变革努力提供基本见解。这项研究是一项描述性研究，将重点放在记录和理解愿景、一致决策和实施行动的过程上，这些过程可以促进K-8计算机教育的更广泛参与。四个项目目标指导研究者从业者伙伴关系（RPP）的工作：目标1：在CSforAll联盟、纽约大学和纽约农村和郊区的两个合作教育服务委员会之间建立一个RPP，以支持CSforAll的努力，着眼于长期伙伴关系和未来的迭代工作。目标2：设计和试点设想、决策和实施程序，为K-8学校和地区围绕“全民CS”实施的决策提供一个综合工具包。目标3：制定一套切实可行的措施，为地区和学校提供快速、形成性的指标，以评估其“全民文化”计划的一致性和实施情况。目标4：对伙伴关系承担的指导决策和实施过程进行研究，这将产生关于实现更细微和强大的CS for All实施决策的学术见解，这些决策可以扩展，可持续，并覆盖更广泛的学习者群体。

Computer science (CS) education in the United States is a rapidly evolving exercise in educational change. Local initiatives to bring quality CS education to all students in cities and states are emerging as communities and school districts respond to the growing desire to include computer science in K-12 education settings. Successful initiatives are often supported by non-profit organizations or district leadership that possess an understanding of both CS content and education. The multi-pronged approach has positioned the CS for All movement to make rapid progress in the goal of broadening access to computing education for K-12 learners. However, this rapid expansion has also created significant difficulties, as the options available to schools and teachers have outpaced the supports necessary for a school district, without an expert in CS education, to thoughtfully select CS education partners to facilitate teacher professional development and curricular implementation. Selection of CS education partners requires an understanding of how to coordinate vision, implementation, and curriculum decisions. Thus, this project will create a research-practice partnership (RPP) to support K-8 schools in developing coordinated visions and multi-grade implementation plans that facilitate their development of sustainable CS programs that scale to broader participation. Through research and implementation, the project will contribute to an understanding of CS education implementation choices at the K-8 level. These implementation choices are key to sustainable CSforAll initiatives around the country. The project will contribute to the understanding of that decision making process, supports that can help schools and districts in the process, and measures for schools and districts to use to assess the alignment of their ongoing implementation to community visions. These outcomes will contribute fundamental insights about how to foster systemic educational change efforts as they relate to CS education. The research, a descriptive study, will focus on documenting and understanding the process of visioning, aligned decision making, and implementation moves that can facilitate broader participation in K-8 computing education. Four project goals guide the Researcher Practitioner Partnership (RPP) work: Goal 1: Establish an RPP between the CSforAll Consortium, New York University, and two Boards of Cooperative Educational Services in rural and suburban New York to support CS for All efforts, with an eye toward long-term partnership and future, iterative work. Goal 2: Design and pilot visioning, decision-making, and implementation routines that can provide an integrated toolkit for facilitating K-8 school and district decision making around CS for All implementation. Goal 3: Develop a set of practical measures that can provide fast, formative metrics for districts and schools to evaluate the alignment and implementation of their CS for All initiatives over time. Goal 4: Conduct research on the guided decision-making and implementation processes that the partnership undertakes that will result in scholarly insights about enabling more nuanced and robust CS for All implementation decisions that can be scalable, sustainable, and reach broader populations of learners.