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计算机科学领导者开发工具和建议的在线资源。该工具包将使用三种组织框架——实现途径、按角色划分的用户需求和专题问答——以使其尽可能有用。该工具包将整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，所有这些都集中在帮助教育领导者对他们的计算机科学项目做出明智的决策上。该项目的目标是提供有关发展和领导K-12计算机科学教育工作的最佳、及时的信息，其格式易于学区和州领导人访问，使他们能够在广泛改变教育成果的努力中做出更强有力的决策。对于计算机科学教育领域来说，这是一个前所未有的时期，因为资金、公众意识和就业需求都在合并，以获得潜在的协调支持。然而，那些忠诚的、长期领导计算机社区的人，在领导更大的、分散注意力的工作方面几乎没有经验。这个项目将数学和科学教育改革社区的专业知识带到新兴的计算工作中。该工具包将把这种经验转化为计算机科学的背景，因此，将为计算机科学教育投资的设计、实现和评估的知识基础做出贡献。这项工作将提高计算机科学教学的规模和效率。它将利用和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.