EAGER: Leading Computer Science Growth: A Toolbox for K-12 Teachers, Administrators, and Other Stakeholders

芝加哥大学提出了一个项目，为学校和地区的K-12计算机科学带头人开发一个工具和建议的在线资源。工具包将使用三个组织框架--实施路径、按角色划分的用户需求和主题问答--以使其尽可能有用。该工具包将管理目前正在开发的现有资源和工具，并将生成新的工具、报告和建议，所有这些都侧重于帮助教育领导人就其计算机科学项目做出明智的决策。该项目的目标是以学区和州领导人易于访问的形式提供有关开发和领导K-12计算机科学教育工作的最佳、及时的信息，使他们能够在努力广泛改变教育结果的过程中做出更强有力的决定。对于计算机科学教育领域来说，这是一个前所未有的时代，因为资金、公众意识和就业需求都在融合，以寻求潜在的协调支持。然而，计算机界忠诚的、长期的领导者在领导更大的、基于分散注意力的工作方面几乎没有经验。该项目将数学和科学教育改革社区的专业知识带到新出现的计算工作中。工具包将把这一经验转化为计算机科学的背景，从而有助于为计算机科学教育投资的设计、实施和评估奠定知识基础。这项工作将提高计算机科学教与学的规模和有效性。它将利用并加速已经在进行的许多努力。

The University of Chicago proposes a project to develop an online resource of tools and recommendations for K-12 computer science leaders in schools and districts. The Toolkit will use three organizational frameworks--implementation pathways, user needs by role, and topical Q&As--to make it as useful as possible. The Toolkit will curate existing resources and tools currently under development, and it will generate new tools, reports, and recommendations, all focused on helping education leaders make well-informed decisions about their computer science programs. The goal of this project is to present the best available, timely information about developing and leading a K-12 computer science education effort in a format that is easily accessible to school district and state leaders, empowering them to make stronger decisions in their efforts to broadly change educational outcomes. This is an unprecedented time for the computer science education field as funding, public awareness, and employment needs are all merging for potentially coordinated support. The committed, long-standing leaders of the computing community, however, have little experience in leading larger, distract-based efforts. This project brings expertise from mathematics and science education reform communities to the newly emerging computing efforts. The Toolkit will translate this experience into the context of computer science and, thus, will contribute to a foundation of knowledge on the design, implementation, and evaluation of computer science education investments. The work will increase the scale and effectiveness of computer science teaching and learning. It will leverage and accelerate the many efforts already underway.