Addressing Issues of Equity and Engagement in Computer Science (CS) through a Research Practice Partnership: The CS Teaching and Learning Collaboratory

罗格斯大学提出了一个研究实践伙伴关系（RPP）-计算机科学教学和学习合作实验室（CS-TLC）-汇集了计算机科学（CS）教育工作者，教育研究人员和行业合作伙伴，为高中CS教师和学校提供有针对性的，差异化的专业发展（PD）和持续的虚拟支持。具体而言，CS-TLC将（a）为教师开发和提供高质量的CS PD，以提高他们根据学生的能力、动机和文化背景提供教学的能力;（B）投资于学校和地区领导人的能力建设，以规划、实施、管理和评估能够支持CS教育的严格性和公平性的计划和政策;及（c）参与研究和社区建设活动，以改善香港康复计划的表现、成效和可持续性，并扩大其成员的规模和多元化。这项建议直接解决了社区教育的公平问题，因为合作学区为许多传统上在社区教育中代表性不足的学生提供服务，包括农村学生、贫困学生以及西班牙裔和非洲裔美国学生。通过与为这些学生服务的教师和管理人员网络合作，该团队很好地定制了活动和内容教学法，以满足学生的不同需求和体验，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查进行评估，被认为值得支持的搜索.

Rutgers University proposes a research practice partnership (RPP) -- the Computer Science Teaching and Learning Collaboratory (CS-TLC) -- that brings together computer science (CS) educators, educational researchers, and industry partners to provide targeted, differentiated professional development (PD) and ongoing virtual support to high school CS teachers and schools. Specifically, CS-TLC will (a) develop and deliver high-quality CS PD for teachers that enhances their ability to deliver instruction that is responsive to their students' abilities, motivation, and cultural backgrounds; (b) invest in building the capacity of school and district leaders to plan, implement, manage, and evaluate programs and policies that can support rigor and equity in CS education; and (c) engage in research and community-building activities that can improve the performance, effectiveness, and sustainability of the RPP as well as expand the size and diversity of its membership. This proposal directly addresses the issue of equity in CS education as the collaborating school districts serve many students who have been traditionally underrepresented in CS including rural students, students living in poverty, and Hispanic and African American students. By working in collaboration with a network of teachers and administrators who serve these students, the team well tailor activities and pedagogy of content to addresses the different needs and experiences of students, providing them with opportunities for rigorous and engaging CS instruction.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.