RET Site: Socially Relevant Computing and Analytics

该奖项创建了一个新的教师研究经验（RET）网站，专注于北卡罗来纳州州立大学的社会相关计算和分析。每年夏天，在职和职前教师将被招募并与计算机科学（CS）研究生研究导师和CS研究教师导师一起投入研究团队。在这种沉浸式的研究经验，教师将学习软件工具，人机交互和快速原型开发，因为他们与CS研究人员合作，调查有关健康，教育和关键基础设施的社会相关问题。参与者将把研究项目合成为学生基于问题的计算作业，整合计算课程的公平实践，包括为学生提供机会，代表他们的文化和想法到项目中。通过沉浸在社会相关的计算研究教育工作者，他们将有计算的影响更好地了解，并将能够更好地传递这些概念给他们的学生，并通过对公平的课程设计的重点，我们可以调查如何以及他们创建的项目与女性，非洲裔美国人/黑人，西班牙裔/拉丁裔学生产生共鸣。 北卡罗来纳州州立大学的教师研究经验（RET）网站将专注于社会相关的计算和分析。在职教师将从为大量代表性不足的学生提供服务的学区招聘，并将与职前教师和计算机科学研究生沿着组成小组。这种亲和研究小组模式将使参与者沉浸在一个充满活力的社区中，为社会相关计算和分析的持续研究做出贡献。研究项目包括严肃游戏，界面设计，关键基础设施，新手编程环境，智能辅导系统，机器学习和数据分析。可再生能源技术网站还将与参与者合作，开发与其研究经验相关的课程模块，包括关于公平和文化相关的CS课程的讲习班，以及为开发模块提供同行反馈的强化讲习班。该网站的目标是创造一种合作文化，促进个人的研究贡献，并创建文化响应和包容性的课程模块。对参与教师的预期影响是增加他们的计算机科学知识，效能，研究和演讲技巧;并提高学生的保留率和参与度。对扩大代表性不足的群体参与CS的预期影响是创造高水平的学生参与，特别是女性，非洲裔美国人/黑人，西班牙裔/拉丁美洲人和关于CS和职业的新知识。学术年度的后续和推广活动和传播计划包括RET团队和导师支持教师在课堂上的实施;职前教师观察课程;和两个讲习班，以加强教学和研究知识获得。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

This award creates a new Research Experiences for Teachers (RET) site focused on socially relevant computing and analytics at North Carolina State University. Each summer, in-service and pre-service teachers will be recruited and put into research teams with a computer science (CS) graduate student research mentor and a CS research faculty mentor. In this immersive research experience, teachers will learn software tools, human computer interaction, and rapid prototype development as they work with CS researchers to investigate socially relevant problems concerning health, education, and critical infrastructures. Participants will synthesize research projects into problem-based computing assignments for students, integrating equitable practices for computing curricula including providing students the opportunity to represent their culture and ideas into the projects. Through immersing educators in socially relevant computing research, they will have a much better understanding of the impacts of computing and will be better able to relay these concepts to their students and through a focus on equitable curriculum design, we can investigate how well their created projects resonate with female, African American/Black, Hispanic/Latinx students. This Research Experience for Teachers (RET) site at North Carolina State University will focus on socially relevant computing and analytics. In service teachers will be recruited from school districts serving large populations of underrepresented students, and will be placed in teams along with pre-service teachers and computer science graduate students. This Affinity Research Group model will immerse participants in a vibrant community to contribute to ongoing research in socially relevant computing and analytics. Research projects include serious games, interface design, critical infrastructures, novice programming environments, intelligent tutoring systems, machine learning, and data analytics. The RET Site will also work with participants to develop curricular modules linked to their research experiences including workshops on equitable and culturally relevant CS curricula and intensive workshops with peer feedback for development of modules. The site’s objective is to create a collaborative culture, promote individual research contributions, and create culturally responsive and inclusive curricular modules. The intended impact on participating teachers is to increase their CS knowledge, efficacy, research and presentation skills; and to increase retention and engagement of their students. The intended impact on broadening participation of underrepresented groups in CS is to create high levels of student engagement particularly for females, African-Americans/Blacks, Hispanics/Latinx and new knowledge about CS and careers. Plans for academic-year follow-up and outreach activities and dissemination include RET Teams and mentors support teachers in classroom implementation; pre-service teachers observing classes; and two workshops to reinforce pedagogical and research knowledge gained.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.