A Consortium Approach to CS for All

全民计算机科学联盟方法

• 批准号: 1645894
• 负责人: Leigh DeLyser
• 金额: $ 29.95万
• 依托单位: The New York City Foundation for Computer Science Education
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2018-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1645894&HistoricalAwards=false
• 关键词: Consortium; Approach; CS

There has been a strong push to expand the opportunities for students to experience Computer Science (CS) instruction in schools across the nation. To support the work at the federal, state, local levels and engage others in the effort, there is a need for coordination across these sectors. The current complex landscape does not have a central organization or connection point, thereby leaving many local education agencies (LEAs) unsure of how to proceed. Using a collective impact model, the New York City Foundation for Computer Science Education will lead an effort to engage leaders in the field to provide local actors access to resources as part of the larger federal Computer Science for All Initiative (CS for All) access to resources for states and local education agencies to support implementation of computer science education across the nation. The consortium will work with a broad range of stakeholders involved in policy making, funding, and implementing computer science education across the nation in order to: effectively coordinate bodies participating in the execution of CS for All; create and launch a steering committee to guide CS for All; develop and build consensus around a common vision and objectives for CS for All in collaboration with a national steering committee; design and execute a knowledge sharing strategy for all who are participating in CS For All: states, districts, schools, teachers and students; and purposefully champion issues of diversity, inclusion and access facing CS Education.

在全国各地的学校里，一直在大力推动扩大学生体验计算机科学（CS）教学的机会。为了支持联邦、州和地方各级的工作，并让其他人参与其中，需要在这些部门之间进行协调。当前复杂的景观没有一个中央组织或连接点，因此让许多地方教育机构（LEAs）不确定如何进行。使用集体影响模型，纽约市计算机科学教育基金会将努力与该领域的领导者合作，为当地参与者提供资源，作为更大的联邦全民计算机科学倡议（CS for All）的一部分，为各州和地方教育机构提供资源，以支持在全国范围内实施计算机科学教育。该联盟将与参与政策制定、资助和在全国范围内实施计算机科学教育的广泛利益相关者合作，以便：有效协调参与执行全民计算机科学的机构；创建并启动一个指导委员会，指导人人享有社会责任；与国家指导委员会合作，围绕“人人享有卫生保健”的共同愿景和目标制定和建立共识；为所有参与“全民计算机科学”的人：州、地区、学校、教师和学生设计并执行知识共享战略；并有目的地支持计算机科学教育面临的多样性、包容性和可及性问题。