K12 CS Pathways for Rural and Tribal Schools

该提案将解决K12途径链，并将在农村和部落学校开发可持续的计算机科学（CS）途径。我们的目标是在学校早期向所有学生介绍CS，并提供多种机会在K12期间与CS接触，并实现确定的学习成果，重点是代表性不足的群体。 项目团队成员有一个现有的研究实践伙伴关系，特别是一个网络化的改进社区，以国家计算机科学教育中心为中心，丰迪拉克奥吉布韦学校（FDLOS）和赫尔曼敦社区学校为网络节点。具体来说，研究人员将从事三个不同的项目活动，以实现上述目标。 其中包括：1）根据所有K12学生的范围和顺序，为每个地区创建计算机科学实施计划，与明尼苏达州和CS教师协会学生标准保持一致; 2）为农村和部落学校设计可持续的CS专业发展计划，利用技术整合专家和管理人员的参与; 3）确定代表性不足的学生的需求，并为他们提供支持，特别是那些社会经济地位低下的学生、特殊教育学生和美洲原住民群体。因此，建议的工作会探讨学校的情况，例如学生的文化背景、地区大小和可用的资源，以及这些因素对学生学习中文的影响。这一奖项反映了NSF的法定使命，并被认为值得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来支持。

This proposal will address the K12 Pathways strand and will develop sustainable computer science (CS) pathways in rural and tribal schools. The goal is to introduce CS to all students early in school and provide multiple opportunities to engage with CS during K12 and achieve identified learning outcomes, with emphasis on underrepresented groups. Project team members have an existing research-practice partnership, specifically a networked improvement community, with the National Center for Computer Science Education as the hub and Fond du Lac Ojibwe School (FDLOS) and Hermantown Community Schools as network nodes.Specifically, the researchers will engage in three distinct project activities to achieve the above goal. These include: 1) Creating a computer science implementation plan for each district based on a scope and sequence for all K12 students, in alignment with Minnesota and CS Teachers Association student standards; 2) Designing sustainable CS professional development programs for rural and tribal schools, leveraging the involvement of tech integration specialists and administrators; and 3) Identifying needs of and supporting underrepresented students, in particular those in low socioeconomic status, special education, and Native American groups. Hence, the proposed work will explore school context, such as student cultural backgrounds, district size and available resources and their impact on students' CS learning. These are critical factors in the CSForAll discourse.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.